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Introduction to Probability and Statistics

Introduction to Probability and Statistics PDF Author: William Mendenhall
Publisher:
ISBN: 9780176509804
Category : Mathematical statistics
Languages : en
Pages : 782

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Book Description
Introduction to Probability and Statistics expertly sheds light on the fundamental reasoning, methods and applications of statistics. From simple, clear explanations, students learn not only how to reason statistically, but also how to correctly interpret statistical results. The authors emphasize how to: Apply statistical procedures, uncover the meaning of statistical research in terms of their practical applications, evaluate the validity of assumptions behind statistical tests, determine what to do when those assumptions have been violated, and meaningfully describe real data sets.

Introduction to Probability and Statistics

Introduction to Probability and Statistics PDF Author: William Mendenhall
Publisher:
ISBN: 9780176509804
Category : Mathematical statistics
Languages : en
Pages : 782

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Book Description
Introduction to Probability and Statistics expertly sheds light on the fundamental reasoning, methods and applications of statistics. From simple, clear explanations, students learn not only how to reason statistically, but also how to correctly interpret statistical results. The authors emphasize how to: Apply statistical procedures, uncover the meaning of statistical research in terms of their practical applications, evaluate the validity of assumptions behind statistical tests, determine what to do when those assumptions have been violated, and meaningfully describe real data sets.

Grundbegriffe der Wahrscheinlichkeitsrechnung

Grundbegriffe der Wahrscheinlichkeitsrechnung PDF Author: Andreĭ Nikolaevich Kolmogorov
Publisher:
ISBN:
Category : Probabilities
Languages : de
Pages : 62

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Book Description


Introduction to Probability and Statistics for Engineers and Scientists

Introduction to Probability and Statistics for Engineers and Scientists PDF Author: Sheldon M. Ross
Publisher: Academic Press
ISBN: 0128177470
Category : Mathematics
Languages : en
Pages : 704

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Book Description
Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, uniquely emphasizes how probability informs statistical problems, thus helping readers develop an intuitive understanding of the statistical procedures commonly used by practicing engineers and scientists. Utilizing real data from actual studies across life science, engineering, computing and business, this useful introduction supports reader comprehension through a wide variety of exercises and examples. End-of-chapter reviews of materials highlight key ideas, also discussing the risks associated with the practical application of each material. In the new edition, coverage includes information on Big Data and the use of R. This book is intended for upper level undergraduate and graduate students taking a probability and statistics course in engineering programs as well as those across the biological, physical and computer science departments. It is also appropriate for scientists, engineers and other professionals seeking a reference of foundational content and application to these fields. Provides the author’s uniquely accessible and engaging approach as tailored for the needs of Engineers and Scientists Features examples that use significant real data from actual studies across life science, engineering, computing and business Includes new coverage to support the use of R Offers new chapters on big data techniques

An Introduction to Probability and Statistics

An Introduction to Probability and Statistics PDF Author: Vijay K. Rohatgi
Publisher: John Wiley & Sons
ISBN: 111879964X
Category : Mathematics
Languages : en
Pages : 688

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Book Description
This Third Edition provides a solid and well-balancedintroduction to probability theory and mathematicalstatistics. The book is divided into three parts: Chapters1-6 form the core of probability fundamentals and foundations;Chapters 7-11 cover statistics inference; and the remainingchapters focus on special topics. For course sequences thatseparate probability and mathematics statistics, the first part ofthe book can be used for a course in probability theory, followedby a course in mathematical statistics based on the second part,and possibly, one or more chapters on special topics. Thebook contains over 550 problems, 350 worked-out examples, and 200side notes for reader reference. Numerous figures have beenadded to illustrate examples and proofs, and answers to selectproblems are now included. Many parts of the book haveundergone substantial rewriting, and the book has also beenreorganized. Chapters 6 and 7 have been interchanged to emphasizethe role of asymptotics in statistics, and the new Chapter 7contains all of the needed basic material on asymptotics. Chapter 6 also includes new material on resampling, specificallybootstrap. The new Further Results chapter include someestimation procedures such as M-estimatesand bootstrapping. A new chapter on regression analysishas also been added and contains sections on linear regression,multiple regression, subset regression, logistic regression, andPoisson regression.

A Modern Introduction to Probability and Statistics

A Modern Introduction to Probability and Statistics PDF Author: F.M. Dekking
Publisher: Springer Science & Business Media
ISBN: 1852338962
Category : Mathematics
Languages : en
Pages : 486

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Book Description
Probability and Statistics are studied by most science students. Many current texts in the area are just cookbooks and, as a result, students do not know why they perform the methods they are taught, or why the methods work. This book readdresses these shortcomings; by using examples, often from real-life and using real data, the authors show how the fundamentals of probabilistic and statistical theories arise intuitively. There are numerous quick exercises to give direct feedback to students, and over 350 exercises, half of which have answers, of which half have full solutions. A website gives access to the data files used in the text, and, for instructors, the remaining solutions. The only prerequisite is a first course in calculus.

Introduction to Probability and Statistics (UUM Press)

Introduction to Probability and Statistics (UUM Press) PDF Author: Siti Fairus Mokhtar
Publisher: UUM Press
ISBN: 9672486553
Category : Mathematics
Languages : en
Pages : 108

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Book Description
Introduction to Probability and Statistics is specially written for students in the Faculty of Computer and Mathematical Sciences. This book is written to help students understand the concepts and fundamental of this subject. This book also useful and relevant for these students. This book is suitable for students who are studying this subject at undergraduate level. It offers the concept and example as well as provides for Introduction to Probability and Statistics. Having read this book, the reader will be able to lean the concept of statistics, step by step in calculation part and give example, exercise and tutorial every chapter.

An Introduction to Probability and Statistics

An Introduction to Probability and Statistics PDF Author: Beryl Hume
Publisher: CUP Archive
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 286

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Book Description


An Introduction to Probability and Statistics

An Introduction to Probability and Statistics PDF Author: Dr. Arun Kaushik & Dr. Rajwant K. Singh
Publisher: K.K. Publications
ISBN:
Category : Mathematics
Languages : en
Pages : 168

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Book Description
An Introduction to Probability and Statistics An Introduction to Probability and Statistics, First Edition, guides the readers through basic probability and statistical methods along with graphs and tables and helps to analyse critically about various basic concepts. Written by two friends i.e. Dr. Arun Kaushik and Dr. Rajwant K. Singh, this book introduces readers with no or very little prior knowledge in probability or statistics to a thinking process to help them obtain the best solution to a posed situation. It provides lots of examples for each topic discussed, and examples are covered from the medical field giving the reader more exposure in applying statistical methods to different situations. This text contains an enhanced number of exercises and graphical illustrations to motivate the readers and demonstrate the applicability of probability and statistical inference in a vast variety of human activities. Each section includes relevant proofs where ever need arises, followed by exercises with some useful clues to their solutions. Furthermore, if the need arises then the detailed solutions to all exercises will be provided in near future in an Answers Manual. This text will appeal to advanced undergraduate and graduate students, as well as researchers and practitioners in engineering, medical sciences, business, social sciences or agriculture. The material discussed in this book is enough for undergraduate and graduate courses. It consists of 5 chapters. Chapter 1 is devoted to the basic concept of probability. Chapters 2 and 3 deal with the concept of a random variable and its distribution and related topics. Chapters 4 and 5 presents an overview of statistical inference, discuss the standard topics of parametric statistical inference, namely, point estimation, interval estimation and testing hypotheses.

Introduction to Probability and Statistics: Statistics

Introduction to Probability and Statistics: Statistics PDF Author: Narayan C. Giri
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 336

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Book Description


An Introduction to Probability Theory and Mathematical Statistics

An Introduction to Probability Theory and Mathematical Statistics PDF Author: V. K. Rohatgi
Publisher: John Wiley & Sons Incorporated
ISBN:
Category : Mathematics
Languages : en
Pages : 704

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Book Description
Sets and classes; Calculus; Linear Algebra; Probability; Random variables and their probability distributions; Moments and generating functions; Random vectors; Some special distributions; Limit theorems; Sample moments and their distributions; The theory of point estimation; Neyman-pearson theory of testing of hypotheses; Some further results on hypotheses testing; Confidence estimation; The general linear hypothesis; nonparametric statistical inference; Sequential statistical inference.