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Probability


Probability
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Introduction To Probability


Introduction To Probability
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Author : David F. Anderson
language : en
Publisher: Cambridge University Press
Release Date : 2017-11-02

Introduction To Probability written by David F. Anderson and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-02 with Mathematics categories.


This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.



Probability And Statistics With Applications


Probability And Statistics With Applications
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Author : Leonard A. Asimow
language : en
Publisher: ACTEX Publications
Release Date : 2010

Probability And Statistics With Applications written by Leonard A. Asimow and has been published by ACTEX Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Business & Economics categories.


This text is listed on the Course of Reading for SOA Exam P, and for the CAS Exam ST. Probability and Statistics with Applications: A Problem Solving Text is an introductory textbook designed to make the subject accessible to college freshmen and sophomores concurrent with their study of calculus. The book provides the content to serve as the primary text for a standard two-semester advanced undergraduate course in mathematical probability and statistics. It is organized specifically to meet the needs of students who are preparing for the Society of Actuaries and Casualty Actuarial Society qualifying examination P/1 and the statistics component of CAS Exam 3L. Sample actuarial exam problems are integrated throughout the text along with an abundance of illustrative examples and 799 exercises. The chapters on mathematical statistics cover all of the learning objectives for the statistics portion of the Casualty Actuarial Society Exam ST syllabus. Here again, liberal use is made of past exam problems from CAS Exams 3 and 3L. A separate solutions manual for the text exercises is also available.



Applied Probability


Applied Probability
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Author : Kenneth Lange
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-17

Applied Probability written by Kenneth Lange and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-17 with Mathematics categories.


Despite the fears of university mathematics departments, mathematics educat,ion is growing rather than declining. But the truth of the matter is that the increases are occurring outside departments of mathematics. Engineers, computer scientists, physicists, chemists, economists, statis- cians, biologists, and even philosophers teach and learn a great deal of mathematics. The teaching is not always terribly rigorous, but it tends to be better motivated and better adapted to the needs of students. In my own experience teaching students of biostatistics and mathematical bi- ogy, I attempt to convey both the beauty and utility of probability. This is a tall order, partially because probability theory has its own vocabulary and habits of thought. The axiomatic presentation of advanced probability typically proceeds via measure theory. This approach has the advantage of rigor, but it inwitably misses most of the interesting applications, and many applied scientists rebel against the onslaught of technicalities. In the current book, I endeavor to achieve a balance between theory and app- cations in a rather short compass. While the combination of brevity apd balance sacrifices many of the proofs of a rigorous course, it is still cons- tent with supplying students with many of the relevant theoretical tools. In my opinion, it better to present the mathematical facts without proof rather than omit them altogether.



Crc Standard Probability And Statistics Tables And Formulae Student Edition


Crc Standard Probability And Statistics Tables And Formulae Student Edition
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Author : Stephen Kokoska
language : en
Publisher: CRC Press
Release Date : 2000-03-29

Crc Standard Probability And Statistics Tables And Formulae Student Edition written by Stephen Kokoska and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-03-29 with Mathematics categories.


Users of statistics in their professional lives and statistics students will welcome this concise, easy-to-use reference for basic statistics and probability. It contains all of the standardized statistical tables and formulas typically needed plus material on basic statistics topics, such as probability theory and distributions, regression, analysis of variance, nonparametric statistics, and statistical quality control. For each type of distribution the authors supply: ? definitions ? tables ? relationships with other distributions, including limiting forms ? statistical parameters, such as variance and generating functions ? a list of common problems involving the distribution Standard Probability and Statistics: Tables and Formulae also includes discussion of common statistical problems and supplies examples that show readers how to use the tables and formulae to get the solutions they need. With this handy reference, the focus can shift from rote learning and memorization to the concepts needed to use statistics efficiently and effectively.



Measure Theory And Probability Theory


Measure Theory And Probability Theory
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Author : Krishna B. Athreya
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-07-27

Measure Theory And Probability Theory written by Krishna B. Athreya and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-27 with Business & Economics categories.


This is a graduate level textbook on measure theory and probability theory. The book can be used as a text for a two semester sequence of courses in measure theory and probability theory, with an option to include supplemental material on stochastic processes and special topics. It is intended primarily for first year Ph.D. students in mathematics and statistics although mathematically advanced students from engineering and economics would also find the book useful. Prerequisites are kept to the minimal level of an understanding of basic real analysis concepts such as limits, continuity, differentiability, Riemann integration, and convergence of sequences and series. A review of this material is included in the appendix. The book starts with an informal introduction that provides some heuristics into the abstract concepts of measure and integration theory, which are then rigorously developed. The first part of the book can be used for a standard real analysis course for both mathematics and statistics Ph.D. students as it provides full coverage of topics such as the construction of Lebesgue-Stieltjes measures on real line and Euclidean spaces, the basic convergence theorems, L^p spaces, signed measures, Radon-Nikodym theorem, Lebesgue's decomposition theorem and the fundamental theorem of Lebesgue integration on R, product spaces and product measures, and Fubini-Tonelli theorems. It also provides an elementary introduction to Banach and Hilbert spaces, convolutions, Fourier series and Fourier and Plancherel transforms. Thus part I would be particularly useful for students in a typical Statistics Ph.D. program if a separate course on real analysis is not a standard requirement. Part II (chapters 6-13) provides full coverage of standard graduate level probability theory. It starts with Kolmogorov's probability model and Kolmogorov's existence theorem. It then treats thoroughly the laws of large numbers including renewal theory and ergodic theorems with applications and then weak convergence of probability distributions, characteristic functions, the Levy-Cramer continuity theorem and the central limit theorem as well as stable laws. It ends with conditional expectations and conditional probability, and an introduction to the theory of discrete time martingales. Part III (chapters 14-18) provides a modest coverage of discrete time Markov chains with countable and general state spaces, MCMC, continuous time discrete space jump Markov processes, Brownian motion, mixing sequences, bootstrap methods, and branching processes. It could be used for a topics/seminar course or as an introduction to stochastic processes. Krishna B. Athreya is a professor at the departments of mathematics and statistics and a Distinguished Professor in the College of Liberal Arts and Sciences at the Iowa State University. He has been a faculty member at University of Wisconsin, Madison; Indian Institute of Science, Bangalore; Cornell University; and has held visiting appointments in Scandinavia and Australia. He is a fellow of the Institute of Mathematical Statistics USA; a fellow of the Indian Academy of Sciences, Bangalore; an elected member of the International Statistical Institute; and serves on the editorial board of several journals in probability and statistics. Soumendra N. Lahiri is a professor at the department of statistics at the Iowa State University. He is a fellow of the Institute of Mathematical Statistics, a fellow of the American Statistical Association, and an elected member of the International Statistical Institute.



A First Course In Probability


A First Course In Probability
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Author : Sheldon M. Ross
language : en
Publisher: Macmillan College
Release Date : 1994

A First Course In Probability written by Sheldon M. Ross and has been published by Macmillan College this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Mathematics categories.


This market leader is written as an elementary introduction to the mathematical theory of probability for readers in mathematics, engineering, and the sciences who possess the prerequisite knowledge of elementary calculus. A major thrust of the Fifth Edition has been to make the book more accessible to today's readers. The exercise sets have been revised to include more simple, "mechanical" problems and new section of Self-test Problems, with fully worked out solutions, conclude each chapter. In addition many new applications have been added to demonstrate the importance of probability in real situations. A software diskette, packaged with each copy of the book, provides an easy to use tool to derive probabilities for binomial, Poisson, and normal random variables. It also illustrates and explores the central limit theorem, works with the strong law of large numbers, and more.



Probability


Probability
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Author : John J. Kinney
language : en
Publisher: John Wiley & Sons
Release Date : 2014-12-08

Probability written by John J. Kinney and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-08 with Mathematics categories.


Praise for the First Edition "This is a well-written and impressively presented introduction to probability and statistics. The text throughout is highly readable, and the author makes liberal use of graphs and diagrams to clarify the theory." - The Statistician Thoroughly updated, Probability: An Introduction with Statistical Applications, Second Edition features a comprehensive exploration of statistical data analysis as an application of probability. The new edition provides an introduction to statistics with accessible coverage of reliability, acceptance sampling, confidence intervals, hypothesis testing, and simple linear regression. Encouraging readers to develop a deeper intuitive understanding of probability, the author presents illustrative geometrical presentations and arguments without the need for rigorous mathematical proofs. The Second Edition features interesting and practical examples from a variety of engineering and scientific fields, as well as: Over 880 problems at varying degrees of difficulty allowing readers to take on more challenging problems as their skill levels increase Chapter-by-chapter projects that aid in the visualization of probability distributions New coverage of statistical quality control and quality production An appendix dedicated to the use of Mathematica® and a companion website containing the referenced data sets Featuring a practical and real-world approach, this textbook is ideal for a first course in probability for students majoring in statistics, engineering, business, psychology, operations research, and mathematics. Probability: An Introduction with Statistical Applications, Second Edition is also an excellent reference for researchers and professionals in any discipline who need to make decisions based on data as well as readers interested in learning how to accomplish effective decision making from data.



Text Book Of Probability And Thoretical Distribution


Text Book Of Probability And Thoretical Distribution
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Author : A. K. Sharma
language : en
Publisher: Discovery Publishing House
Release Date : 2005

Text Book Of Probability And Thoretical Distribution written by A. K. Sharma and has been published by Discovery Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Mathematical statistics categories.


This book Probability and Theoretical Distributions is an outcome of author s long teaching experience of the subject. This book present a thorough treatment of what is required for the students of B.A./B.Sc. of various Universities. It includes fundamental concepts illustrated examples and application to various problems. Contents: Probability and Expected Value, Theoretical Distributions.



Elements Of Probability And Statistics


Elements Of Probability And Statistics
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Author : Steven A. Lippman
language : en
Publisher:
Release Date : 1971

Elements Of Probability And Statistics written by Steven A. Lippman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Mathematics categories.




Essential Evidence Based Medicine


Essential Evidence Based Medicine
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Author : Dan Mayer
language : en
Publisher: Cambridge University Press
Release Date : 2004-06-17

Essential Evidence Based Medicine written by Dan Mayer and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-06-17 with Medical categories.


This is an ideal introductory text on Evidence Based Medicine (EBM) for medical students and all health-care professionals.