Probability for Statistics and Machine Learning

• Author : Anirban DasGupta
• Publisher : Springer Science & Business Media
• Release : 17 May 2011

This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It is written in an extremely accessible style, with elaborate motivating discussions and numerous worked out examples and exercises. The book has 20 chapters on a wide range of topics, 423 worked out examples, and 808 exercises. It is unique in its unification of probability and statistics, its coverage and

• Author : Vijay K. Rohatgi,A. K. Md. Ehsanes Saleh
• Publisher : John Wiley & Sons
• Release : 15 September 2011

The second edition of a well-received book that was published 24 years ago and continues to sell to this day, An Introduction to Probability and Statistics is now revised to incorporate new information as well as substantial updates of existing material.

• Author : Leon J. Gleser,Michael D. Perlman,S. James Press,Allan R. Sampson
• Publisher : Springer Science & Business Media
• Release : 06 December 2012

Published in honor of the sixty-fifth birthday of Professor Ingram Olkin of Stanford University. Part I contains a brief biography of Professor Olkin and an interview with him discussing his career and his research interests. Part II contains 32 technical papers written in Professor Olkin's honor by his collaborators, colleagues, and Ph.D. students. These original papers cover a wealth of topics in mathematical and applied statistics, including probability inequalities and characterizations, multivariate analysis and association, linear and nonlinear models, ranking

• Author : Ronald Deep
• Publisher : Academic Press
• Release : 13 April 2021

Probability & Statistics with Integrated Software Routines is a calculus-based treatment of probability concurrent with and integrated with statistics through interactive, tailored software applications designed to enhance the phenomena of probability and statistics. The software programs make the book unique. The book comes with a CD containing the interactive software leading to the Statistical Genie. The student can issue commands repeatedly while making parameter changes to observe the effects. Computer programming is an excellent skill for problem solvers, involving design, prototyping,

• 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

• Author : Michael J. Evans,Jeffrey S. Rosenthal
• Publisher : Macmillan
• Release : 13 April 2021

Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor based on incorporating the computer to the course and an integrated approach to inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout.* Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities.

• Author : Mario Lefebvre
• Publisher : Springer Science & Business Media
• Release : 03 April 2007

This book moves systematically through the topic of applied probability from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation is enriched by many examples from real life. Each chapter concludes with many original, solved and unsolved problems and hundreds of multiple choice questions, enabling those unfamiliar with the topics to master them. Additionally appealing are historical notes on the mathematicians mentioned throughout, and

• Author : Leonard Asimow, Ph.D., ASA,Mark Maxwell, Ph.D., ASA
• Publisher : ACTEX Publications
• Release : 30 June 2015

This text is listed on the Course of Reading for SOA Exam P. Probability and Statistics with Applications is an introductory textbook designed to make the subject accessible to college freshmen and sophomores concurrent with Calc II and III, with a prerequisite of just one smester of calculus. It is organized specifically to meet the needs of students who are preparing for the Society of Actuaries qualifying Examination P and Casualty Actuarial Society's new Exam S. Sample actuarial exam problems

• Author : Arak M. Mathai,Hans J. Haubold
• Publisher : Walter de Gruyter GmbH & Co KG
• Release : 18 December 2017

This book offers an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing. As a companion for classes for engineers and scientists, the book also covers applied topics such as model building and experiment design. Contents Random phenomena Probability Random variables Expected values Commonly used discrete distributions Commonly used density functions Joint distributions Some multivariate distributions Collection of random variables Sampling distributions Estimation Interval estimation

• Author : Morris H. DeGroot,Mark J. Schervish
• Publisher : Pearson College Division
• Release : 13 April 2021

The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data. Calculus is assumed as a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.

• Author : Hung T. Nguyen,Gerald S. Rogers
• Publisher : Springer Science & Business Media
• Release : 25 July 1989

This is the first half of a text for a two semester course in mathematical statistics at the senior/graduate level for those who need a strong background in statistics as an essential tool in their career. To study this text, the reader needs a thorough familiarity with calculus including such things as Jacobians and series but somewhat less intense familiarity with matrices including quadratic forms and eigenvalues. For convenience, these lecture notes were divided into two parts: Volume I,

• Author : John Tabak
• Publisher : Infobase Publishing
• Release : 01 January 2009

Presents a survey of the history and evolution of the branch of mathematics that focuses on probability and statistics, including useful applications and notable mathematicians in this area.

• Author : Yuri Suhov,Mark Kelbert
• Publisher : Cambridge University Press
• Release : 24 April 2008

The subject is critical in many modern applications such as mathematical finance, quantitative management, insurance and actuarial studies.

• Author : Yuri Suhov,Michael Kelbert,Mark Kelbert
• Publisher : Cambridge University Press
• Release : 13 October 2005

This subject is critical in many modern applications such as mathematical finance, quantitative management, telecommunications, signal processing, bioinformatics, as well as traditional ones such as insurance, social science and engineering. The authors have rectified deficiencies in traditional lecture-based methods by collecting together a wealth of exercises for which they have supplied complete solutions. These solutions are adapted to needs and skills of students. Experience shows that users of this book will find the subject more interesting and they will be

• Author : Sheldon M. Ross
• Publisher : Academic Press
• Release : 14 August 2014

Introduction to Probability and Statistics for Engineers and Scientists provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage. As with