The Essentials Of Probability
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The Essentials Of Probability
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Author : Richard Durrett
language : en
Publisher: Duxbury Resource Center
Release Date : 1994
The Essentials Of Probability written by Richard Durrett and has been published by Duxbury Resource Center this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Mathematics categories.
Offering a clear treatment of probability focused on problem solving, Richard Durrett presents only the essentials of probability, allowing instructors to cover this entire book in one semester. Each topic moves from the specific to the general, beginning with one or more examples that lead to theoretical results. A large number of examples and exercises relate applications to everyday life.
Probability Essentials
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Author : Jean Jacod
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Probability Essentials written by Jean Jacod 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 2012-12-06 with Mathematics categories.
This introduction can be used, at the beginning graduate level, for a one-semester course on probability theory or for self-direction without benefit of a formal course; the measure theory needed is developed in the text. It will also be useful for students and teachers in related areas such as finance theory, electrical engineering, and operations research. The text covers the essentials in a directed and lean way with 28 short chapters, and assumes only an undergraduate background in mathematics. Readers are taken right up to a knowledge of the basics of Martingale Theory, and the interested student will be ready to continue with the study of more advanced topics, such as Brownian Motion and Ito Calculus, or Statistical Inference.
Essentials Of Probability Theory For Statisticians
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Author : Michael A. Proschan
language : en
Publisher: CRC Press
Release Date : 2018-09-03
Essentials Of Probability Theory For Statisticians written by Michael A. Proschan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-03 with Mathematics categories.
Essentials of Probability Theory for Statisticians provides graduate students with a rigorous treatment of probability theory, with an emphasis on results central to theoretical statistics. It presents classical probability theory motivated with illustrative examples in biostatistics, such as outlier tests, monitoring clinical trials, and using adaptive methods to make design changes based on accumulating data. The authors explain different methods of proofs and show how they are useful for establishing classic probability results. After building a foundation in probability, the text intersperses examples that make seemingly esoteric mathematical constructs more intuitive. These examples elucidate essential elements in definitions and conditions in theorems. In addition, counterexamples further clarify nuances in meaning and expose common fallacies in logic. This text encourages students in statistics and biostatistics to think carefully about probability. It gives them the rigorous foundation necessary to provide valid proofs and avoid paradoxes and nonsensical conclusions.
Probability Essentials
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Author : Jean Jacod
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Probability Essentials written by Jean Jacod 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 2012-12-06 with Mathematics categories.
This introduction can be used, at the beginning graduate level, for a one-semester course on probability theory or for self-direction without benefit of a formal course; the measure theory needed is developed in the text. It will also be useful for students and teachers in related areas such as finance theory, electrical engineering, and operations research. The text covers the essentials in a directed and lean way with 28 short chapters, and assumes only an undergraduate background in mathematics. Readers are taken right up to a knowledge of the basics of Martingale Theory, and the interested student will be ready to continue with the study of more advanced topics, such as Brownian Motion and Ito Calculus, or Statistical Inference.
Solutions Manual To Accompany The Essentials Of Probability
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Author : Richard Durrett
language : en
Publisher:
Release Date : 1994
Solutions Manual To Accompany The Essentials Of Probability written by Richard Durrett and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Probabilities categories.
Probability Essentials
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Author : Jean Jacod
language : en
Publisher:
Release Date : 1999-12-15
Probability Essentials written by Jean Jacod and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-12-15 with categories.
Most books that deal with probability do not cover any measure theory, yet knowledge of measure theory is needed to learn probability. This book covers all the essentials of probability theory while developing the necessary measure theory. The book will bring its reader from a starting knowledge of probability through the basics of Martingale theory in a lean, directed manner. It is perfect for those needing a quick grounding in probability theory in order to move on to more advanced topics useful in applied areas such as finance, economics, electrical engineering, and operations research.
Essentials Of Probability
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Author : Richard Durrett
language : en
Publisher: Wadsworth Publishing Company
Release Date : 1994
Essentials Of Probability written by Richard Durrett and has been published by Wadsworth Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Probabilities categories.
The Essentials of Probability offers a clear treatment of probability focused on problem solving. Durrett presents only the essentials of probability, so it can be covered in one semester. Each topic moves from the specific to the general, beginning with one or more examples to lead into the theoretical results. A large number of examples and carefully chosen exercises relate applications to everyday life.
Probability
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Author : Rick Durrett
language : en
Publisher: Cambridge University Press
Release Date : 2010-08-30
Probability written by Rick Durrett 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 2010-08-30 with Mathematics categories.
This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems. The fourth edition begins with a short chapter on measure theory to orient readers new to the subject.
Probability Essentials 2e
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Author : Jacod
language : en
Publisher:
Release Date : 2008-06-01
Probability Essentials 2e written by Jacod and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-01 with categories.
Essentials Of Mathematical Statistics
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Author : Brian Albright
language : en
Publisher: Jones & Bartlett Publishers
Release Date : 2014
Essentials Of Mathematical Statistics written by Brian Albright and has been published by Jones & Bartlett Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Mathematics categories.
This text combines the topics generally found in main-stream elementary statistics books with the essentials of the underlying theory. The book begins with an axiomatic treatment of probability followed by chapters on discrete and continuous random variables and their associated distributions. It then introduces basic statistical concepts including summarizing data and interval parameter estimation, stressing the connection between probability and statistics. Final chapters introduce hypothesis testing, regression, and non-parametric techniques. All chapters provide a balance between conceptual understanding and theoretical understanding of the topics at hand.