مجموعة من الكتب في الإحصاء والإحتمالات

الموضوع في 'الرياضيات التطبيقية' بواسطة zidaan, بتاريخ ‏سبتمبر 21, 2009.

  1. zidaan

    zidaan اللؤلؤ المنثور

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    Bayesian Inference: with ecological applications



    William A Link, Richard J Barker, "Bayesian Inference: with ecological applications"
    Academic Press | 2009 | ISBN: 0123748542 | 400 pages | PDF | 5,6 MB

    This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists, ecologists and wildlife biologists. It emphasizes the power and usefulness of Bayesian methods in an ecological context.
    The advent of fast personal computers and easily available software has simplified the use of Bayesian and hierarchical models . One obstacle remains for ecologists and wildlife biologists, namely the near absence of Bayesian texts written specifically for them. The book includes many relevant examples, is supported by software and examples on a companion website and will become an essential grounding in this approach for students and research ecologists.

    . Engagingly written text specifically designed to demystify a complex subject
    . Examples drawn from ecology and wildlife research
    . An essential grounding for graduate and research ecologists in the increasingly prevalent Bayesian approach to inference
    . Companion website with analytical software and examples
    . Leading authors with world-class reputations in ecology and biostatistics












  2. zidaan

    zidaan اللؤلؤ المنثور

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    كتاب : Bayesian Inference: with ecological applications

    Bayesian Inference: with ecological applications



    William A Link, Richard J Barker, "Bayesian Inference: with ecological applications"
    Academic Press | 2009 | ISBN: 0123748542 | 400 pages | PDF | 5,6 MB

    This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists, ecologists and wildlife biologists. It emphasizes the power and usefulness of Bayesian methods in an ecological context.
    The advent of fast personal computers and easily available software has simplified the use of Bayesian and hierarchical models . One obstacle remains for ecologists and wildlife biologists, namely the near absence of Bayesian texts written specifically for them. The book includes many relevant examples, is supported by software and examples on a companion website and will become an essential grounding in this approach for students and research ecologists.

    . Engagingly written text specifically designed to demystify a complex subject
    . Examples drawn from ecology and wildlife research
    . An essential grounding for graduate and research ecologists in the increasingly prevalent Bayesian approach to inference
    . Companion website with analytical software and examples
    . Leading authors with world-class reputations in ecology and biostatistics












  3. zidaan

    zidaan اللؤلؤ المنثور

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    كتاب : Study Design and Statistical Analysis: A Practical Guide for Clinicians

    Study Design and Statistical Analysis: A Practical Guide for Clinicians



    Mitchell Katz, "Study Design and Statistical Analysis: A Practical Guide for Clinicians"
    Cambridge University Press | 2006-07-03 | ISBN: 0521534070 | 200 pages | PDF | 2.2 Mb


    This book takes the reader through the entire research process: choosing a question, designing a study, collecting the data, using univariate, bivariate and multivariable analysis, and publishing the results. It does so by using plain language rather than complex derivations and mathematical formulas. It focuses on the nuts and bolts of performing research by asking and answering the most basic questions about doing research studies. Making good use of numerous tables, graphs and tips, this book helps to demystify the process. A generous number of up-to-date examples from the clinical literature give an illustrated and practical account of how to use multivariable analysis.

    Summary: excellent review for busy clinicians
    Rating: 5

    This book lives up to its title as a practical guide for non-statisticians. I am using it in a graduate training program for rehabilitation physicians. Easy to read, excellent references, and well-written.



  4. zidaan

    zidaan اللؤلؤ المنثور

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    Batch Effects and Noise in Microarray Experiments: Sources and Solutions (Wiley Series in Probability and Statistics

    Batch Effects and Noise in Microarray Experiments: Sources and Solutions (Wiley Series in Probability and Statistics)




    Andreas Scherer, "Batch Effects and Noise in Microarray Experiments: Sources and Solutions (Wiley Series in Probability and Statistics)"
    Wiley | 2009 | ISBN: 0470741384 | 272 pages | PDF | 2,6 MB

    Batch Effects and Noise in Microarray Experiments: Sources and Solutions looks at the issue of technical noise and batch effects in microarray studies and illustrates how to alleviate such factors whilst interpreting the relevant biological information.

    Each chapter focuses on sources of noise and batch effects before starting an experiment, with examples of statistical methods for detecting, measuring, and managing batch effects within and across datasets provided online. Throughout the book the importance of standardization and the value of standard operating procedures in the development of genomics biomarkers is emphasized.


    Key Features:

    A thorough introduction to Batch Effects and Noise in Microrarray Experiments.
    A unique compilation of review and research articles on handling of batch effects and technical and biological noise in microarray data.
    An extensive overview of current standardization initiatives.
    All datasets and methods used in the chapters, as well as colour images, are available on , so that the data can be reproduced.


    An exciting compilation of state-of-the-art review chapters and latest research results, which will benefit all those involved in the planning, execution, and analysis of gene expression studies.









  5. zidaan

    zidaan اللؤلؤ المنثور

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    R Through Excel: A Spreadsheet Interface for Statistics, Data Analysis, and Graphics

    R Through Excel: A Spreadsheet Interface for Statistics, Data Analysis, and Graphics


    [​IMG]

    Richard M. Heiberger, Erich Neuwirth "R Through Excel: A Spreadsheet Interface for Statistics, Data Analysis, and Graphics"
    Springer | English | 2009-08-05 | ISBN: 1441900519 | 343 pages | PDF | 17 MB





    R, a free and open source program, is one of the most powerful and the fastest-growing statistics program. Microsoft Excel is the most widely used spreadsheet program, but many statisticians consider its statistical tools too limited.

    In this book, the authors build on RExcel, a free add-in for Excel that can be downloaded from the R distribution network. RExcel seamlessly integrates the entire set of R's statistical and graphical methods into Excel, allowing students to focus on statistical methods and concepts and minimizing the distraction of learning a new programming language.

    Data can be transferred between R and Excel “the Excel way” by selecting worksheet ranges and using Excel menus. R’s basic statistical functions and selected advanced methods are available from an Excel menu. Results of the computations and statistical graphics can be returned back into Excel worksheet ranges. RExcel allows the use of Excel scroll bars and check boxes to create and animate R graphics as an interactive analysis tool.

    The book is designed as a computational supplement to introductory statistics texts and the authors provide RExcel examples covering the topics of the introductory course.



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  6. zidaan

    zidaan اللؤلؤ المنثور

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    كتاب : All of Statistics: A Concise Course in Statistical Inference

    All of Statistics: A Concise Course in Statistical Inference


    [​IMG]

    All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
    By Larry Wasserman
    Publisher: Springer
    Number Of Pages: 442
    Publication Date: 2004-09-17
    ISBN-10 / ASIN: 0387402721
    ISBN-13 / EAN: 9780387402727
    Binding: Hardcover

    This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable for students and researchers in statistics, computer science, data mining and machine learning.

    This book covers a much wider range of topics than a typical introductory text on mathematical statistics. It includes modern topics like nonparametric curve estimation, bootstrapping and classification, topics that are usually relegated to follow-up courses. The reader is assumed to know calculus and a little linear algebra. No previous knowledge ofprobability and statistics is required. The text can be used at the advanced undergraduate and graduate level.

    Summary: all of statistics in just this little book?
    Rating: 5
    Wasserman wrote a book titled “All of Nonparametrics.” You can see my review of that on amazon. That also was a concise treatment of the subject in a book that covered more topics than say Conover’s fine book but yet in less pages. The trick was to give the basics,provide references and offer the reader a broad perspective on the topic without going through the nitty gritty details. I was impressed at the way the author achieved his goal and addressed topics like nonparametric regression and wavelets that are not normally covered in a first course in nonparametrics.
    Covering all of statistics in just slightly more pages seems at first an insane notion. The approach is the same as in the other book but with so much more to cover the treatment is a little less detailed and a little more concise. The reader needs to realize that the title is intentionally misleading. In both cases it is not Wasserman’s intention to really cover every aspect of the subject at hand. Rather it is a carefully chosen selection of essential topics written in a concise but still very clear and lucid way. I think a more appropriate title would have been “All You Really Need to Know About Statistics That You Were Afraid to Ask.” I think the author might consider such a change of title in a revised edition. I would have the same typr of title change for the Nonparametrics book as well. These books are different from the standard fare for introductory texts. But if you want a overview of the subject where the author points you in the right direction for dotting the i’s and crossing the t’s, this is the right book for you. For practitioners who are not statisticians this usually what they are looking for. For statisticians it is a useful reference source to go along with other texts on statistical inference.

    Summary: Very good book
    Rating: 5
    This is a very well written book. I took Prof. Wasserman course and the way he teaches is simply amazing. He can make complex ideas simple to grasp. In my view, the way to make complex things simple is to highlight on important points. The way he wrote the book is in the same style. Complex ideas are presented in a simple way.

    Summary: Excellent at times, but only a summary or introduction: far from thorough
    Rating: 4
    This book is essentially a summary of the major theoretical topics in statistics, at an introductory level. The focus is on theory, not on data analysis or modeling, but there are more connections to data analysis and modeling than is typical among books on the same topics. The main flaw in this book is not that it does anything poorly, but rather, that it omits a lot.
    The book is very balanced in its coverage of different topics, its discussion of the frequentist vs. Bayesian paradigm, etc. It mentions parametric and nonparametric inference, including hypothesis testing, point estimation, Bayesian inference, decision theory, regression, and even two different approaches to causal inference. The book also paints a fairly whole picture of how the different topics relate to each other and fit into a unified theoretical framework. Another huge strength of this book is that it always omits unnecessary technical details, including only streamlined discussions highlighting essential points.
    The main weakness of this book is that certain topics are only brushed upon and not adequately explained. The first two chapters are deep enough for students to get a more or less complete understanding of the important ideas (assuming they do the exercises). But, for example, the 4th chapter covering inequalities is simply a collection of equations and formulas: the text explains how to use them, but not where they come from or what their intuitive interpretation is. This problem arises throughout the book but it is most evident in chapter 4. I want to remark, however, that this problem is widespread in statistics textbooks, and this book is still less lacking in this respect than is common among typical texts.
    I’m not sure this book makes the best textbook. In my opinion most students would benefit from a text that offers more explanation of the meaning and driving ideas behind theory. However, I like the way this book gets to the main points quickly and omits confusing and tedious details and irrelevant tangents. This book may be good for students who are briefly studying statistics and will never take a future course. This book is useful as a very basic reference, but I think its best use is for self-study–advanced students will find it one of the quickest and best ways to get an overview of most of the fundamental topics in theoretical statistics.
    Honestly, I think Wasserman is an outstanding writer, and part of me wishes he would expand this book to the scale of something like Casella and Berger’s “Statistical Inference”, covering more material and adding more discussion of certain topics, but retaining the style of being to-the-point and omitting tedious details. I think this is one of the best books of its type out there but I refrain from giving 5 stars because I think Statistics is one area where most of the 5 star books have not yet been written.

    Summary: Difficult and without solution
    Rating: 2
    This book make a review about all statistics for undergradute students, but the author haven’t a solution book.
    Many exercises are so difficult, and I feel it so hard.

    Summary: Great for a quick summary of the basics
    Rating: 5
    I have not read every section, but have found that it is a nice place to get a quick summary of the main results in some of the more outlying regions of statistics. I would not use it for a course because of its brevity, but I have recommended it to my class of future statisticians as a nice capsule reference book.



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  7. zidaan

    zidaan اللؤلؤ المنثور

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    Probability and Random Processes

    Probability and Random Processes




    Geoffrey R. Grimmett, David R. Stirzaker, "Probability and Random Processes"
    Oxford University Press, USA | 2001 | ISBN: 0198572220 | 608 pages | PDF | 6,4 MB

    Review
    "Since its first appearance in 1982, Probability and Random Processes has been a landmark book on the subject and has become mandatory reading for any mathematician wishing to understand chance.It is aimed mainly at final-year honours students and graduate students, but it goes beyond this level, and all serious mathematicians and academic libraries should own a copy ... the companion book of exercises is cleverly conceived and ... form(s) a perfect complement to the main text. " Times Higher Education Supplement

    ... aims to be a full and comprehensive account of (almost all) the probability theory and stochastic processes one could hope to teach to undergraduates ... Much new material has been included in this third edition to reflect recent developments in the subject ... As well as its masterful coverage of the material, the book has many appealing stylistic features ... extremely valuable in finding good proofs of theorems which are dealt with rather cursorily in other textbooks. The Mathematical Gazette One of the strong features of the book is its large collection of interesting exercises, which has been greatly expanded in this new edition so that there are now over one thousand exercises. These are conveniently collected together in a separate volume that includes full solutions. Biometrics As well as its masterful coverage of the material, the book has many appealing stylistic features. Mathematical Gazette This is definitely one of my favourites as a textbook ... a wealth of interesting teaching material at all levels. Short Book Reviews of the ISI Since its first appearance in 1982 Probability and Random Processes has been a landmark book on the subject and has become mandatory reading for any mathematician wishing to understand chance. It is aimed mainly at final-year honours students and graduate students, but it goes beyond this level, and all serious mathematicians and academic libraries should own a copy ... the companion book of exercises is cleverly conceived and ... form(s) a perfect complement to the main text. Times Higher Education Supplement









  8. zidaan

    zidaan اللؤلؤ المنثور

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    The Bayesian Choice: From Decision-theoretic Foundations to Computational Implementation

    The Bayesian Choice: From Decision-theoretic Foundations to Computational Implementation





    Christian P. Robert: The Bayesian Choice: From Decision-theoretic Foundations to Computational Implementation
    Publisher: Springer-Verlag | Edition: 2007 | ISBN: 0387715983 | PDF | 602 pages | 4,94 MB

    This graduate-level textbook presents an introduction to Bayesian statistics and decision theory. Its scope covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statistics such as complete class theorems, the Stein effect, hierarchical and empirical Bayes modeling, Monte Carlo integration, and Gibbs sampling. It is the translation of a successful French text. In the translation to the English edition, the author has taken the opportunity to add and update material, and to include many problems and exercises for students.





  9. zidaan

    zidaan اللؤلؤ المنثور

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    Probabilities and Potential B. Theory of Martingales Mathematics Studies

    Probabilities and Potential B. Theory of Martingales Mathematics Studies



    Probabilities and Potential B. Theory of Martingales Mathematics Studies
    Publisher: Elsevier Science Ltd | ISBN: 0444865268 | edition 1982 | PDF | 482 pages | 13,1 mb

    Probabilities and Potential B. Theory of Martingales Mathematics Studies by J. P. Wilson



  10. zidaan

    zidaan اللؤلؤ المنثور

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    كتاب رائع جدا : Steps to a 5 AP Statistics, 2010-2011 Edition 5

    5 Steps to a 5 AP Statistics, 2010-2011 Edition



    Duane Hinders, "5 Steps to a 5 AP Statistics, 2010-2011 Edition"
    MgH | 2009 | ISBN: 0071621881 | 384 pages | PDF | 1,4 MB

    A Perfect Plan for the Perfect Score

    We want you to succeed on your AP* exam. That's why we've created this 5-step plan to help you study more effectively, use your preparation time wisely, and get your best score. This easy-to-follow guide offers you a complete review of your AP course, strategies to give you the edge on test day, and plenty of practice with AP-style test questions. You'll sharpen your subject knowledge, strengthen your thinking skills, and build your test-taking confidence with
    Full-length practice exams modeled on the real test
    All the terms and concepts you need to know to get your best score
    Your choice of three customized study schedules--so you can pick the one that meets your needs

    The 5-Step Plan helps you get the most out of your study time:
    Step 1: Set Up Your Study Program
    Step 2: Determine Your Readiness
    Step 3: Develop the Strategies
    Step 4: Review the Knowledge
    Step 5: Build Your Confidence

    Topics include: Overview of Statistics/Basic Vocabulary; One-Variable Data Analysis; Two-Variable Data Analysis; Design of a Study: Sampling, Surveys, and Experiments; Random Variables and Probability; Binomial Distributions, Geometric Distributions, and Sampling Distributions; Confidence Intervals and Introduction to Inference; Inference for Means and Proportions; and Inference for Regression
    Also includes: Practice tests

    *AP, Advanced Placement Program, and College Board are registered trademarks of the College Entrance Examination Board, which was not involved in the production of, and does not endorse, this product.












  11. zidaan

    zidaan اللؤلؤ المنثور

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    كتاب : Multivariate Data Analysis

    Multivariate Data Analysis




    Multivariate Data Analysis
    Publisher: Springer | ISBN: 9027724253 | edition 1986 | PDF | 224 pages | 16,2 mb

    Interest in statistical methodology is increasing so rapidly in the astronomical community that accessible introductory material in this area is long overdue. This book fills the gap by providing a presentation of the most useful techniques in multivariate statistics. A wide-ranging annotated set of general and astronomical bibliographic references follows each chapter, providing valuable entry-points for research workers in all astronomical sub-disciplines.

    Links




  12. assou

    assou Well-Known Member

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    merci khouya zidaan
  13. zidaan

    zidaan اللؤلؤ المنثور

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    العفو اخي بارك الله فيك
  14. zidaan

    zidaan اللؤلؤ المنثور

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    Information Criteria and Statistical Modeling

    Information Criteria and Statistical Modeling



    Sadanori Konishi, Genshiro Kitagawa, “Information Criteria and Statistical Modeling”
    Springer 2007 | ISBN-10: 0387718869 | 276 Pages | PDF | 3,7 MB

    The Akaike information criterion (AIC) derived as an estimator of the Kullback-Leibler information discrepancy provides a useful tool for evaluating statistical models, and numerous successful applications of the AIC have been reported in various fields of natural sciences, social sciences and engineering.

    One of the main objectives of this book is to provide comprehensive explanations of the concepts and derivations of the AIC and related criteria, including Schwarzs Bayesian information criterion (BIC), together with a wide range of practical examples of model selection and evaluation criteria. A secondary objective is to provide a theoretical basis for the analysis and extension of information criteria via a statistical functional approach. A generalized information criterion (GIC) and a bootstrap information criterion are presented, which provide unified tools for modeling and model evaluation for a diverse range of models, including various types of nonlinear models and model estimation procedures such as robust estimation, the maximum penalized likelihood method and a Bayesian approach.










  15. zidaan

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    Foundations of Risk Analysis: A Knowledge and Decision-Oriented Perspective

    Foundations of Risk Analysis: A Knowledge and Decision-Oriented Perspective



    Terje Aven, "Foundations of Risk Analysis: A Knowledge and Decision-Oriented Perspective "
    Wiley | 2003 | ISBN: 0471495484 | 206 pages | PDF | 1,2 MB

    Everyday we face decisions that carry an element of risk and uncertainty. The ability to analyse, communicate and control the level of risk entailed by these decisions remains one of the most pressing challenges to the analyst, scientist and manager. This book presents the foundational issues in risk analysis - expressing risk, understanding what risk means, building risk models, addressing uncertainty, and applying probability models to real problems. The principal aim of the book is to give the reader the knowledge and basic thinking they require to approach risk and uncertainty to support decision making.
    * Presents a statistical framework for dealing with risk and uncertainty.
    * Includes detailed coverage of building and applying risk models and methods.
    * Offers new perspectives on risk, risk assessment and the use of parametric probability models.
    * Highlights a number of applications from business and industry.
    * Adopts a conceptual approach based on elementary probability calculus and statistical theory.
    Foundations of Risk Analysis provides a framework for understanding, conducting and using risk analysis suitable for advanced undergraduates, graduates, analysts and researchers from statistics, engineering, finance, medicine and the physical sciences, as well as for managers facing decision making problems involving risk and uncertainty.









  16. zidaan

    zidaan اللؤلؤ المنثور

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    Sequential Methods and Their Applications

    Sequential Methods and Their Applications




    Nitis Mukhopadhyay, Basil M. de Silva, "Sequential Methods and Their Applications"
    Chapman&Hall/CRC | 2009 | ISBN: 158488102X | 512 pages | PDF | 2 MB

    Taking an accessible, nonmathematical approach to this field, Sequential Methods and Their Applications illustrates the efficiency of sequential methodologies when dealing with contemporary statistical challenges in many areas.

    Covers various methods of sequential analysis

    The book first explores fixed sample size, sequential probability ratio, and nonparametric tests. It then presents numerous multistage estimation methods for fixed-width confidence interval as well as minimum and bounded risk problems. The book also describes multistage fixed-size confidence region methodologies, selection methodologies, and Bayesian estimation. Through diverse applications, each chapter provides valuable approaches for performing statistical experiments and facilitating real data analysis.

    Apply the methodologies in practice

    Functional in a variety of statistical problems, the authors’ interactive computer programs show how the methodologies discussedcan be implemented in data analysis. Each chapter offers examples of input, output, and their interpretations. Available online, the programs provide the option to save some parts of an output so readers can revisit computer-generated data for further examination with exploratory data analysis.

    Through this book and its computer programs, readers will better understand the methods of sequential analysis and be able to use them in real-world settings.









  17. zidaan

    zidaan اللؤلؤ المنثور

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    Revealing Statistical Principles

    Revealing Statistical Principles




    Jim Lindsey, "Revealing Statistical Principles"
    Hodder Arnold | 1999 | ISBN: 0340741201 | 217 pages | PDF | 1,3 MB

    Written by a renowned statistician, this book presents the basic ideas behind the statistical methods commonly used in studies of human subjects. It is an ideal guide for advanced undergraduates who are beginning to do their own research. It presents the basic principles in a non-mathematical way and is accessible to a wide audience with little background in statistics.

    The text begins at the point when a study is originally conceived and moves in order through all stages to the final report writing, covering both observational and experimental (intervention) studies. Due to the primordial importance of the proper design of a study, much of the material concentrates on this aspect.









  18. alialobeidy

    alialobeidy Active Member

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    بارك الله فيك أخي زيدان و جزاك الله خيرا
  19. zidaan

    zidaan اللؤلؤ المنثور

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    Elementary Probability for Applications

    Elementary Probability for Applications



    Elementary Probability for Applications By Rick Durrett
    Publisher: Cambridge University Press 2009-07-31 | 254 Pages | ISBN: 0521867568 | PDF | 1.3 MB

    This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains. Concise and focused, it is designed for a one-semester introductory course in probability for students who have some familiarity with basic calculus. Reflecting the author's philosophy that the best way to learn probability is to see it in action, there are more than 350 problems and 200 examples. The examples contain all the old standards such as the birthday problem and Monty Hall, but also include a number of applications not found in other books, from areas as broad ranging as genetics, sports, finance, and inventory management.









  20. zidaan

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    Probabilities: The Little Numbers That Rule Our Lives

    Probabilities: The Little Numbers That Rule Our Lives



    Probabilities: The Little Numbers That Rule Our Lives By Peter Olofsson
    Publisher: Wiley 2006 | 280 Pages | ISBN: 0470040017 | PDF | 14 MB



    Product Description
    What are the chances?

    Find out in this entertaining exploration of probabilities in our everyday lives

    "If there is anything you want to know, or remind yourself, about probabilities, then look no further than this comprehensive, yet wittily written and enjoyable, compendium of how to apply probability calculations in real-world situations."
    --Keith Devlin, Stanford University, National Public Radio's "Math Guy" and author of The Math Gene and The Math Instinct

    "A delightful guide to the sometimes counterintuitive discipline of probability. Olofsson points out major ideas here, explains classic puzzles there, and everywhere makes free use of witty vignettes to instruct and amuse."
    --John Allen Paulos, Temple University, author of Innumeracy and A Mathematician Reads the Newspaper

    "Beautifully written, with fascinating examples and tidbits of information. Olofsson gently and persuasively shows us how to think clearly about the uncertainty that governs our lives."
    --John Haigh, University of Sussex, author of Taking Chances: Winning with Probability

    From probable improbabilities to regular irregularities, Probabilities: The Little Numbers That Rule Our Lives investigates the often-surprising effects of risk and chance in our everyday lives. With examples ranging from WWII espionage to the O. J. Simpson trial, from bridge to blackjack, from Julius Caesar to Jerry Seinfeld, the reader is taught how to think straight in a world of randomness and uncertainty.

    Throughout the book, readers learn:
    * Why it is not that surprising for someone to win the lottery twice
    * How a faulty probability calculation forced an innocent woman to spend three years in prison
    * How to place bets if you absolutely insist on gambling
    * How a newspaper turned an opinion poll into one of the greatest election blunders in history

    Educational, eloquent, and entertaining, Probabilities: The Little Numbers That Rule Our Lives is the ideal companion for anyone who wants to obtain a better understanding of the mathematics of chance.







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