Probability And Statistics Volume I
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A Modern Introduction To Probability And Statistics
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Author : F.M. Dekking
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-06-15
A Modern Introduction To Probability And Statistics written by F.M. Dekking 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 2005-06-15 with Mathematics categories.
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
Probability With A View Towards Statistics
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Author : J. Hoffman-Jørgensen
language : en
Publisher:
Release Date : 1994
Probability With A View Towards Statistics written by J. Hoffman-Jørgensen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with MATHEMATICS categories.
Probability And Statistics
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Author : Didier Dacunha-Castelle
language : en
Publisher: Springer
Release Date : 2012-08-14
Probability And Statistics written by Didier Dacunha-Castelle and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-14 with Mathematics categories.
Who is a probabilist? Someone who knows the odds of drawing an ace of diamonds, or the waiting time at a ticket office? A mathematician who uses a special vocabulary? And who is a statistician? Someone who is capable of determining whether tobacco encourages cancer, or the number of votes which a certain candidate will poll at the next elections? Each one perceives the link: chance. The probabilist, guided by his intuition of poker or queues, constructs an abstract model; having fixed the mathematical framework, he calmly follows through his logical reasoning, which sometimes him very far from his starting point. The statistician takes works on solid ground. When a doctor asks him if it is worth using a new drug, he uses the tools of a probabilist. However he must reach a decision, the least harmful option, based on analyzing the doctor's observations, while taking into account the various risks involved. In short, a probabilist keeps his hands clean while dreaming of models, while a statistician must dirty his hands while working with concrete facts. Relations between the two have often been difficult; but the barriers to their dialogue are broken down by the interest in the concrete to supplement theoretical dreams or in complicated models to describe various phenomena. However, few students have a chance to overcome these barriers.
Probability And Statistics Volume I
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Author : Reinhard Viertl
language : en
Publisher: EOLSS Publications
Release Date : 2009-06-11
Probability And Statistics Volume I written by Reinhard Viertl and has been published by EOLSS Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-11 with categories.
Probability and Statistics theme is a component of Encyclopedia of Mathematical Sciences in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. The Theme with contributions from distinguished experts in the field, discusses Probability and Statistics. Probability is a standard mathematical concept to describe stochastic uncertainty. Probability and Statistics can be considered as the two sides of a coin. They consist of methods for modeling uncertainty and measuring real phenomena. Today many important political, health, and economic decisions are based on statistics. This theme is structured in five main topics: Probability and Statistics; Probability Theory; Stochastic Processes and Random Fields; Probabilistic Models and Methods; Foundations of Statistics, which are then expanded into multiple subtopics, each as a chapter. These three volumes are aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs
Before Machine Learning Volume 3 Probability And Statistics For A I
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Author : Jorge Brasil
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-01-21
Before Machine Learning Volume 3 Probability And Statistics For A I written by Jorge Brasil and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Mathematics categories.
Explore the critical role of probability and statistics in building AI systems. A detailed resource for machine learning enthusiasts to solidify their understanding of the mathematical and statistical underpinnings of AI. Key Features Detailed exploration of probability and statistics in AI development Step-by-step explanation of key statistical concepts with practical applications A comprehensive coverage of models, Markov processes, and hierarchical techniques Book DescriptionDelve into the importance of probability and statistics in AI, beginning with fundamental measures like mean, median, and variance. This book takes you on a journey through the basics of probability theory, introducing key concepts such as central tendency, variance, and probability distributions. It emphasizes the role of statistical measures in understanding and analyzing data. Building on these foundations, the book explores hypothesis testing, Bayesian inference, and statistical distributions in-depth. Readers will gain practical insights into essential techniques for model evaluation, maximum likelihood estimation, and the interpretation of data in the context of AI applications. Each concept is illustrated with practical examples and case studies to ensure clarity and application. Finally, advanced topics like Markov processes, hierarchical Bayesian models, and multivariate distributions are introduced. The book addresses critical areas like variance, correlation, and hypothesis testing, equipping readers with the skills to tackle real-world challenges in AI and machine learning. Whether you're a student, professional, or AI enthusiast, this book offers the essential statistical tools and knowledge to excel in the field.What you will learn Understand probability theory and its foundational role in AI Explore statistical measures and distributions for data analysis Apply Bayesian models for decision-making processes Learn hypothesis testing and model evaluation techniques Master Markov models for sequential data analysis Understand hierarchical Bayesian models and their applications Who this book is for Students and professionals in data science, artificial intelligence, and machine learning will find this book invaluable. A solid understanding of high school-level algebra and basic calculus is required. This book is ideal for readers who aim to strengthen their statistical and probabilistic skills for use in artificial intelligence applications. It is also beneficial for academics and researchers who want a comprehensive resource on probability and statistics in machine learning.
Introduction To Probability And Statistics
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Author : William Mendenhall
language : en
Publisher:
Release Date : 1975
Introduction To Probability And Statistics written by William Mendenhall and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Mathematical statistics categories.
Probability And Statistics By Example
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Author : Yu. M. Suhov
language : en
Publisher: Cambridge University Press
Release Date : 2014-09-22
Probability And Statistics By Example written by Yu. M. Suhov 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 2014-09-22 with Mathematics categories.
A valuable resource for students and teachers alike, this second edition contains more than 200 worked examples and exam questions.
Mathematical Statistics
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Author : George R. Terrell
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-04-06
Mathematical Statistics written by George R. Terrell 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 2006-04-06 with Mathematics categories.
This textbook introduces the mathematical concepts and methods that underlie statistics. The course is unified, in the sense that no prior knowledge of probability theory is assumed, being developed as needed. The book is committed to both a high level of mathematical seriousness and to an intimate connection with application. In its teaching style, the book is * mathematically complete * concrete * constructive * active. The text is aimed at the upper undergraduate or the beginning Masters program level. It assumes the usual two-year college mathematics sequence, including an introduction to multiple integrals, matrix algebra, and infinite series.
Probability With Statistical Applications
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Author : Rinaldo B. Schinazi
language : en
Publisher: Springer Nature
Release Date : 2022-02-26
Probability With Statistical Applications written by Rinaldo B. Schinazi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-26 with Mathematics categories.
This second edition textbook offers a practical introduction to probability for undergraduates at all levels with different backgrounds and views towards applications. Calculus is a prerequisite for understanding the basic concepts, however the book is written with a sensitivity to students’ common difficulties with calculus that does not obscure the thorough treatment of the probability content. The first six chapters of this text neatly and concisely cover the material traditionally required by most undergraduate programs for a first course in probability. The comprehensive text includes a multitude of new examples and exercises, and careful revisions throughout. Particular attention is given to the expansion of the last three chapters of the book with the addition of one entirely new chapter (9) on ’Finding and Comparing Estimators.’ The classroom-tested material presented in this second edition forms the basis for a second course introducing mathematical statistics.
Mathematical Statistics
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Author : Jun Shao
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-04-06
Mathematical Statistics written by Jun Shao 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 2006-04-06 with Mathematics categories.
This graduate textbook covers those topics in statistical theory essential for students preparing for work on a Ph.D. degree in statistics. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are useful in statistics, while the second introduces some fundamental concepts in statistical decision theory and inference. The remaining chapters contain detailed studies on such important topics as: unbiased estimation, parametric estimation, nonparametric estimation, hypothesis testing, and confidence sets. A large number of exercises in each chapter provide not only practice problems for students, but also many additional results. In addition to the classical results that are typically covered in a textbook of this level, this book introduces some topics in modern statistical theory that have been developed in recent years, such as Markov chain Monte Carlo, quasi-likelihoods, empirical likelihoods, statistical functionals, generalized estimation equations, the jackknife, and the bootstrap.