## Understanding Probability

**Author**: Henk Tijms

**Publisher:**Cambridge University Press

**ISBN:**110765856X

**Category:**Mathematics

**Page:**562

**View:**6028

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Using everyday examples to demystify probability, this classic is now in its third edition with new chapters, exercises and examples.

## Understanding probability and statistics

*a book of problems*

**Author**: Ruma Falk,Raphael Falk

**Publisher:**A K Peters Ltd

**ISBN:**N.A

**Category:**Mathematics

**Page:**239

**View:**3306

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## Probability For Dummies

**Author**: Deborah J. Rumsey

**Publisher:**John Wiley & Sons

**ISBN:**1118429095

**Category:**Mathematics

**Page:**384

**View:**2467

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## A Modern Introduction to Probability and Statistics

*Understanding Why and How*

**Author**: F.M. Dekking,C. Kraaikamp,H.P. Lopuhaä,L.E. Meester

**Publisher:**Springer Science & Business Media

**ISBN:**1846281687

**Category:**Mathematics

**Page:**488

**View:**1481

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Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books

## Understanding and Calculating the Odds

*Probability Theory Basics and Calculus Guide for Beginners, with Applications in Games of Chance and Everyday Life*

**Author**: Catalin Barboianu

**Publisher:**INFAROM Publishing

**ISBN:**9738752019

**Category:**Games

**Page:**420

**View:**3784

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This book presents not only the mathematical concept of probability, but also its philosophical aspects, the relativity of probability and its applications and even the psychology of probability. All explanations are made in a comprehensible manner and are supported with suggestive examples from nature and daily life, and even with challenging math paradoxes. (Mathematics)

## Understand Probability

*Little Quick Fix*

**Author**: John MacInnes

**Publisher:**SAGE

**ISBN:**1526460602

**Category:**Social Science

**Page:**108

**View:**7755

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The Little Quick Fix to Understanding Probability breaks it down step by step with crystal clear examples and exercises from one of the leading quantitative teachers in the UK. All you need is an hour and you'll finally get it. Once it clicks into place, you can nail that section of your exam. Little Quick Fix titles provide quick but authoritative answers to the problems, hurdles, and assessment points students face in the research course, project proposal, or design—whatever their methods learning is. Lively, ultra-modern design; full-colour, each page a tailored design. An hour's read. Easy to dip in and out of with clear navigation enables the reader to find what she needs—quick. Direct written style gets to the point with clear language. Nothing needs to be read twice. No fluff. Learning is reinforced through a 2-minute overview summary; 3-second summaries with super-quick Q&A DIY tasks create a work plan to accomplish a task, do a self-check quiz, solve a problem, get students to what they need to show their supervisor. Checkpoints in each section make sure students are nailing it as they go and support self-directed learning. How do I know I’m done? Each Little Quick Fix wraps up with a finale checklist that allows the reader to self-assess they’ve got what they need to progress, submit, or ace the test or task.

## Understand Probability

**Author**: IntroBooks

**Publisher:**IntroBooks

**ISBN:**1523945885

**Category:**Business & Economics

**Page:**30

**View:**1743

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This booklet will teach you everything you need to know about probability in order to use it to your advantage. We shall start by exploring the very theory of probability and, later on, we shall discuss about the important role it plays in the fields of mathematics and science. Of course, we cannot even begin to think about probability without also considering the statistics and the inductive inferences. Therefore, we shall also approach these matters. Our booklet will take you on a journey that will underline the connection between Logic and Probability. Logic plays a big role in understanding the principles of probability. We are not all great mathematicians, but we have broken down the principles of probability into tiny bits, so that we can be sure all of our readers will benefit from reading our book. Probabilistic models usually imply a generous amount of knowledge of the dialect of science. Which is why, rather than depending on the conventional "hypothesis - confirmation" design, we built up the material in a natural - yet at the same time thorough and scientifically exact way. Besides, while the applications are different and clear, we underline the fundamental ideas and approaches that are generally materialized. Read this guide to uncover the mysteries of probability and learn how to apply them in your line of work, your studies and even your day-to-day activities, in order to get more things done and to fully benefit from your work. ***************************** IntroBooks delivers up to the minute information covering everything on a topic in only one hour of reading. This book is written to give essential information in a straight-to-the-point, easy to read format. We have cut out technical jargon, waffle and unnecessary filler to ensure you get the essential information you need to achieve your goals with confidence.

## Introduction to Probability

**Author**: Charles Miller Grinstead,James Laurie Snell

**Publisher:**American Mathematical Soc.

**ISBN:**0821894145

**Category:**Probabilities

**Page:**510

**View:**7110

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This text is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science. It presents a thorough treatment of ideas and techniques necessary for a firm understanding of the subject. The text is also recommended for use in discrete probability courses. The material is organized so that the discrete and continuous probability discussions are presented in a separate, but parallel, manner. This organization does not emphasize an overly rigorous or formal view of probability and therefore offers some strong pedagogical value. Hence, the discrete discussions can sometimes serve to motivate the more abstract continuous probability discussions. Features: Key ideas are developed in a somewhat leisurely style, providing a variety of interesting applications to probability and showing some nonintuitive ideas. Over 600 exercises provide the opportunity for practicing skills and developing a sound understanding of ideas. Numerous historical comments deal with the development of discrete probability. The text includes many computer programs that illustrate the algorithms or the methods of computation for important problems. The book is a beautiful introduction to probability theory at the beginning level. The book contains a lot of examples and an easy development of theory without any sacrifice of rigor, keeping the abstraction to a minimal level. It is indeed a valuable addition to the study of probability theory. --Zentralblatt MATH

## Probability

*With Applications and R*

**Author**: Robert P. Dobrow

**Publisher:**John Wiley & Sons

**ISBN:**1118589440

**Category:**Mathematics

**Page:**520

**View:**9226

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An introduction to probability at the undergraduate level Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability. With real-life examples and thoughtful exercises from fields as diverse as biology, computer science, cryptology, ecology, public health, and sports, the book is accessible for a variety of readers. The book’s emphasis on simulation through the use of the popular R software language clarifies and illustrates key computational and theoretical results. Probability: With Applications and R helps readers develop problem-solving skills and delivers an appropriate mix of theory and application. The book includes: Chapters covering first principles, conditional probability, independent trials, random variables, discrete distributions, continuous probability, continuous distributions, conditional distribution, and limits An early introduction to random variables and Monte Carlo simulation and an emphasis on conditional probability, conditioning, and developing probabilistic intuition An R tutorial with example script files Many classic and historical problems of probability as well as nontraditional material, such as Benford’s law, power-law distributions, and Bayesian statistics A topics section with suitable material for projects and explorations, such as random walk on graphs, Markov chains, and Markov chain Monte Carlo Chapter-by-chapter summaries and hundreds of practical exercises Probability: With Applications and R is an ideal text for a beginning course in probability at the undergraduate level.

## Bigger Than Chaos

**Author**: Michael Strevens

**Publisher:**Harvard University Press

**ISBN:**9780674010420

**Category:**Mathematics

**Page:**413

**View:**7877

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Michael Strevens shows how simplicity can co-exist with the tangled interconnections within complex systems. By looking at the foundations of statistical reasoning about complex systems (gases, ecosystems and even social systems) he provides an understanding of how simplicity emerges from complexity.

## The Probability Lifesaver

*All the Tools You Need to Understand Chance*

**Author**: Steven J. Miller

**Publisher:**Princeton University Press

**ISBN:**1400885388

**Category:**Mathematics

**Page:**752

**View:**5988

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The essential lifesaver for students who want to master probability For students learning probability, its numerous applications, techniques, and methods can seem intimidating and overwhelming. That's where The Probability Lifesaver steps in. Designed to serve as a complete stand-alone introduction to the subject or as a supplement for a course, this accessible and user-friendly study guide helps students comfortably navigate probability's terrain and achieve positive results. The Probability Lifesaver is based on a successful course that Steven Miller has taught at Brown University, Mount Holyoke College, and Williams College. With a relaxed and informal style, Miller presents the math with thorough reviews of prerequisite materials, worked-out problems of varying difficulty, and proofs. He explores a topic first to build intuition, and only after that does he dive into technical details. Coverage of topics is comprehensive, and materials are repeated for reinforcement—both in the guide and on the book's website. An appendix goes over proof techniques, and video lectures of the course are available online. Students using this book should have some familiarity with algebra and precalculus. The Probability Lifesaver not only enables students to survive probability but also to achieve mastery of the subject for use in future courses. A helpful introduction to probability or a perfect supplement for a course Numerous worked-out examples Lectures based on the chapters are available free online Intuition of problems emphasized first, then technical proofs given Appendixes review proof techniques Relaxed, conversational approach

## Probability: A Lively Introduction

**Author**: Henk Tijms

**Publisher:**Cambridge University Press

**ISBN:**1108418740

**Category:**Mathematics

**Page:**N.A

**View:**8971

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Comprehensive, yet concise, this textbook is the go-to guide to learn why probability is so important and its applications.

## Introduction to Probability

**Author**: John E. Freund

**Publisher:**Courier Corporation

**ISBN:**0486158438

**Category:**Mathematics

**Page:**247

**View:**6918

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Featured topics include permutations and factorials, probabilities and odds, frequency interpretation, mathematical expectation, decision making, postulates of probability, rule of elimination, much more. Exercises with some solutions. Summary. 1973 edition.

## Understanding Uncertainty

**Author**: Dennis V. Lindley

**Publisher:**John Wiley & Sons

**ISBN:**1118650123

**Category:**Mathematics

**Page:**424

**View:**1009

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Praise for the First Edition "...a reference for everyone who is interested in knowing and handling uncertainty." —Journal of Applied Statistics The critically acclaimed First Edition of Understanding Uncertainty provided a study of uncertainty addressed to scholars in all fields, showing that uncertainty could be measured by probability, and that probability obeyed three basic rules that enabled uncertainty to be handled sensibly in everyday life. These ideas were extended to embrace the scientific method and to show how decisions, containing an uncertain element, could be rationally made. Featuring new material, the Revised Edition remains the go-to guide for uncertainty and decision making, providing further applications at an accessible level including: A critical study of transitivity, a basic concept in probability A discussion of how the failure of the financial sector to use the proper approach to uncertainty may have contributed to the recent recession A consideration of betting, showing that a bookmaker's odds are not expressions of probability Applications of the book’s thesis to statistics A demonstration that some techniques currently popular in statistics, like significance tests, may be unsound, even seriously misleading, because they violate the rules of probability Understanding Uncertainty, Revised Edition is ideal for students studying probability or statistics and for anyone interested in one of the most fascinating and vibrant fields of study in contemporary science and mathematics.

## Analysis and Probability

**Author**: Aurel Spataru

**Publisher:**Newnes

**ISBN:**0124017274

**Category:**Mathematics

**Page:**404

**View:**5733

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Probability theory is a rapidly expanding field and is used in many areas of science and technology. Beginning from a basis of abstract analysis, this mathematics book develops the knowledge needed for advanced students to develop a complex understanding of probability. The first part of the book systematically presents concepts and results from analysis before embarking on the study of probability theory. The initial section will also be useful for those interested in topology, measure theory, real analysis and functional analysis. The second part of the book presents the concepts, methodology and fundamental results of probability theory. Exercises are included throughout the text, not just at the end, to teach each concept fully as it is explained, including presentations of interesting extensions of the theory. The complete and detailed nature of the book makes it ideal as a reference book or for self-study in probability and related fields. Covers a wide range of subjects including f-expansions, Fuk-Nagaev inequalities and Markov triples. Provides multiple clearly worked exercises with complete proofs. Guides readers through examples so they can understand and write research papers independently.

## Randomness

**Author**: Deborah J. Bennett

**Publisher:**Harvard University Press

**ISBN:**9780674020771

**Category:**Mathematics

**Page:**256

**View:**9429

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From the ancients' first readings of the innards of birds to your neighbor's last bout with the state lottery, humankind has put itself into the hands of chance. Today life itself may be at stake when probability comes into play--in the chance of a false negative in a medical test, in the reliability of DNA findings as legal evidence, or in the likelihood of passing on a deadly congenital disease--yet as few people as ever understand the odds. This book is aimed at the trouble with trying to learn about probability. A story of the misconceptions and difficulties civilization overcame in progressing toward probabilistic thinking, "Randomness" is also a skillful account of what makes the science of probability so daunting in our own day. To acquire a (correct) intuition of chance is not easy to begin with, and moving from an intuitive sense to a formal notion of probability presents further problems. Author Deborah Bennett traces the path this process takes in an individual trying to come to grips with concepts of uncertainty and fairness, and also charts the parallel path by which societies have developed ideas about chance. Why, from ancient to modern times, have people resorted to chance in making decisions? Is a decision made by random choice "fair"? What role has gambling played in our understanding of chance? Why do some individuals and societies refuse to accept randomness at all? If understanding randomness is so important to probabilistic thinking, why do the experts disagree about what it really is? And why are our intuitions about chance almost always dead wrong? Anyone who has puzzled over a probability conundrum is struck by the paradoxes and counterintuitive results that occur at a relatively simple level. Why this should be, and how it has been the case through the ages, for bumblers and brilliant mathematicians alike, is the entertaining and enlightening lesson of "Randomness."

## Basic Probability Theory with Applications

**Author**: Mario Lefebvre

**Publisher:**Springer Science & Business Media

**ISBN:**0387749950

**Category:**Mathematics

**Page:**340

**View:**1700

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The main intended audience for this book is undergraduate students in pure and applied sciences, especially those in engineering. Chapters 2 to 4 cover the probability theory they generally need in their training. Although the treatment of the subject is surely su?cient for non-mathematicians, I intentionally avoided getting too much into detail. For instance, topics such as mixed type random variables and the Dirac delta function are only brie?y mentioned. Courses on probability theory are often considered di?cult. However, after having taught this subject for many years, I have come to the conclusion that one of the biggest problems that the students face when they try to learn probability theory, particularly nowadays, is their de?ciencies in basic di?erential and integral calculus. Integration by parts, for example, is often already forgotten by the students when they take a course on probability. For this reason, I have decided to write a chapter reviewing the basic elements of di?erential calculus. Even though this chapter might not be covered in class, the students can refer to it when needed. In this chapter, an e?ort was made to give the readers a good idea of the use in probability theory of the concepts they should already know. Chapter 2 presents the main results of what is known as elementary probability, including Bayes’ rule and elements of combinatorial analysis.

## Probability

*For the Enthusiastic Beginner*

**Author**: David Morin

**Publisher:**Createspace Independent Publishing Platform

**ISBN:**9781523318674

**Category:**Probabilities

**Page:**372

**View:**4085

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This book is written for high school and college students learning about probability for the first time. It will appeal to the reader who has a healthy level of enthusiasm for understanding how and why the various results of probability come about. All of the standard introductory topics in probability are covered: combinatorics, the rules of probability, Bayes' theorem, expectation value, variance, probability density, common distributions, the law of large numbers, the central limit theorem, correlation, and regression. Calculus is not a prerequisite, although a few of the problems do involve calculus. These are marked clearly. The book features 150 worked-out problems in the form of examples in the text and solved problems at the end of each chapter. These problems, along with the discussions in the text, will be a valuable resource in any introductory probability course, either as the main text or as a helpful supplement.

## Probability, Statistics, and Truth

**Author**: Richard Von Mises

**Publisher:**Courier Corporation

**ISBN:**0486242145

**Category:**Mathematics

**Page:**244

**View:**6058

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This comprehensive study of probability considers the approaches of Pascal, Laplace, Poisson, and others. It also discusses Laws of Large Numbers, the theory of errors, and other relevant topics.