• Home
• An Introduction to Probability and Statistical Inference

# An Introduction to Probability and Statistical Inference • Author : George G. Roussas
• Release : 21 October 2014
• ISBN : 0128004371
• Pages : 624 pages
• Rating : 5/5 from 1 ratings

Summary:

## An Introduction to Probability and Statistical Inference • Author : George G. Roussas
• Release : 21 October 2014

An Introduction to Probability and Statistical Inference, Second Edition, guides you through probability models and statistical methods and helps you to think critically about various concepts. Written by award-winning author George Roussas, this book introduces readers with no prior knowledge in probability or statistics to a thinking process to help them obtain the best solution to a posed question or situation. It provides a plethora of examples for each topic discussed, giving the reader more experience in applying statistical methods

## An Introduction to Probability and Statistics • Author : Vijay K. Rohatgi,A.K. Md. Ehsanes Saleh
• Publisher : John Wiley & Sons
• Release : 06 August 2015

A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the Third Edition begins by presenting the fundamentals and foundationsof probability. The second part addresses statistical inference, and the remainingchapters focus on special topics. An Introduction to Probability and Statistics, Third Edition includes: A new section on regression analysis to include multiple regression, logistic regression, and Poisson

## An Introduction to Statistical Inference and Its Applications with R • Author : Michael W. Trosset
• Publisher : CRC Press
• Release : 23 June 2009

Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and exercises are included. R is used to simplify computation, create figures

## Introduction to Probability • Author : George G. Roussas
• Release : 27 November 2013

Introduction to Probability, Second Edition, discusses probability theory in a mathematically rigorous, yet accessible way. This one-semester basic probability textbook explains important concepts of probability while providing useful exercises and examples of real world applications for students to consider. This edition demonstrates the applicability of probability to many human activities with examples and illustrations. After introducing fundamental probability concepts, the book proceeds to topics including conditional probability and independence; numerical characteristics of a random variable; special distributions; joint probability density

## An Introduction to Probability and Mathematical Statistics • Author : Howard G. Tucker
• Release : 12 May 2014

An Introduction to Probability and Mathematical Statistics provides information pertinent to the fundamental aspects of probability and mathematical statistics. This book covers a variety of topics, including random variables, probability distributions, discrete distributions, and point estimation. Organized into 13 chapters, this book begins with an overview of the definition of function. This text then examines the notion of conditional or relative probability. Other chapters consider Cochran's theorem, which is of extreme importance in that part of statistical inference known as analysis

## Probability and Statistical Inference • Author : Miltiadis C. Mavrakakis,Jeremy Penzer
• Publisher : CRC Press
• Release : 29 March 2021

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and inference that are fundamental to a proper understanding of data analysis and statistical modelling. It presents these topics in an accessible manner without sacrificing mathematical rigour, bridging the gap between the many excellent introductory books and the more advanced, graduate-level texts. The book introduces and explores techniques that are relevant to modern practitioners, while being respectful to the history of statistical inference. It

## Probability and Statistical Inference • Publisher : CRC Press
• Release : 30 August 2020

Priced very competitively compared with other textbooks at this level! This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts. Beginning wi

## Introduction to Statistical Inference • Author : Jack C. Kiefer
• Publisher : Springer Science & Business Media
• Release : 06 December 2012

This book is based upon lecture notes developed by Jack Kiefer for a course in statistical inference he taught at Cornell University. The notes were distributed to the class in lieu of a textbook, and the problems were used for homework assignments. Relying only on modest prerequisites of probability theory and cal culus, Kiefer's approach to a first course in statistics is to present the central ideas of the modem mathematical theory with a minimum of fuss and formality. He

## Introduction to Probability and Statistics • Author : Narayan C Giri
• Publisher : Routledge
• Release : 31 October 2018

Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit theorems - and provides an introduction to various types of statist

## Probability and Statistical Inference • Author : Robert Bartoszynski,Magdalena Niewiadomska-Bugaj
• Publisher : John Wiley & Sons
• Release : 16 November 2007

Now updated in a valuable new edition—this user-friendly book focuses on understanding the "why" of mathematical statistics Probability and Statistical Inference, Second Edition introduces key probability and statis-tical concepts through non-trivial, real-world examples and promotes the developmentof intuition rather than simple application. With its coverage of the recent advancements in computer-intensive methods, this update successfully provides the comp-rehensive tools needed to develop a broad understanding of the theory of statisticsand its probabilistic foundations. This outstanding new edition continues to

## A Concise Introduction to Statistical Inference • Author : Jacco Thijssen
• Publisher : CRC Press
• Release : 25 November 2016

This short book introduces the main ideas of statistical inference in a way that is both user friendly and mathematically sound. Particular emphasis is placed on the common foundation of many models used in practice. In addition, the book focuses on the formulation of appropriate statistical models to study problems in business, economics, and the social sciences, as well as on how to interpret the results from statistical analyses. The book will be useful to students who are interested in

## Probability and Statistical Inference • Author : J.G. Kalbfleisch
• Publisher : Springer Science & Business Media
• Release : 06 December 2012

A carefully written text, suitable as an introductory course for second or third year students. The main scope of the text guides students towards a critical understanding and handling of data sets together with the ensuing testing of hypotheses. This approach distinguishes it from many other texts using statistical decision theory as their underlying philosophy. This volume covers concepts from probability theory, backed by numerous problems with selected answers.

## An Introduction to Probability and Inductive Logic • Author : Ian Hacking
• Publisher : Cambridge University Press
• Release : 02 July 2001

An introductory 2001 textbook on probability and induction written by a foremost philosopher of science. 