#### Probability and Statistics

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## Probability and Statistics

Author | : Michael J. Evans,Jeffrey S. Rosenthal |

Release | : 2010-03-01 |

Editor | : WH Freeman |

Pages | : 200 |

ISBN | : 1429224630 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor to the course, incorporating the computer and offering an integrated approach to inference that includes the frequency approach and the Bayesian 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. The new edition includes a number of features designed to make the material more accessible and level-appropriate to the students taking this course today.

## Probability Statistics and Data

Author | : Darrin Speegle,Bryan Clair |

Release | : 2021-11-26 |

Editor | : CRC Press |

Pages | : 644 |

ISBN | : 9781000504514 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable. Mathematical approaches are included, using calculus when appropriate, but are always connected to experimental computations. Using R and simulation gives a nuanced understanding of statistical inference. The impact of departure from assumptions in statistical tests is emphasized, quantified using simulations, and demonstrated with real data. The book compares parametric and non-parametric methods through simulation, allowing for a thorough investigation of testing error and power. The text builds R skills from the outset, allowing modern methods of resampling and cross validation to be introduced along with traditional statistical techniques. Fifty-two data sets are included in the complementary R package fosdata. Most of these data sets are from recently published papers, so that you are working with current, real data, which is often large and messy. Two central chapters use powerful tidyverse tools (dplyr, ggplot2, tidyr, stringr) to wrangle data and produce meaningful visualizations. Preliminary versions of the book have been used for five semesters at Saint Louis University, and the majority of the more than 400 exercises have been classroom tested.

## Introduction to Probability Statistics and Random Processes

Author | : Hossein Pishro-Nik |

Release | : 2014-08-15 |

Editor | : Unknown |

Pages | : 746 |

ISBN | : 0990637204 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

The book covers basic concepts such as random experiments, probability axioms, conditional probability, and counting methods, single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalities; limit theorems and convergence; introduction to Bayesian and classical statistics; random processes including processing of random signals, Poisson processes, discrete-time and continuous-time Markov chains, and Brownian motion; simulation using MATLAB and R.

## Probability and Statistics

Author | : José I. Barragués,Adolfo Morais,Jenaro Guisasola |

Release | : 2016-04-19 |

Editor | : CRC Press |

Pages | : 490 |

ISBN | : 9781482219807 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

With contributions by leaders in the field, this book provides a comprehensive introduction to the foundations of probability and statistics. Each of the chapters covers a major topic and offers an intuitive view of the subject matter, methodologies, concepts, terms, and related applications. The book is suitable for use for entry level courses in first year university studies of Science and Engineering, higher level courses, postgraduate university studies and for the research community.

## A Modern Introduction to Probability and Statistics

Author | : F.M. Dekking,C. Kraaikamp,H.P. Lopuhaä,L.E. Meester |

Release | : 2006-03-30 |

Editor | : Springer Science & Business Media |

Pages | : 488 |

ISBN | : 9781846281686 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

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 and Statistics in Experimental Physics

Author | : Byron P. Roe |

Release | : 2013-03-09 |

Editor | : Springer Science & Business Media |

Pages | : 208 |

ISBN | : 9781475721867 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

A practical introduction to the use of probability and statistics in experimental physics for graduate students and advanced undergraduates. Intended as a practical guide, and not as a comprehensive text, the emphasis is on applications and understanding, on theorems and techniques that are actually used in experimental physics. Proofs of theorems are generally omitted unless they contribute to the intuition in understanding and applying the theorem. The problems, many with worked solutions, introduce the student to the use of computers; occasional reference is made to some of the Fortran routines available in the CERN library, but other systems, such as Maple, will also be useful.

## Probability and Statistics

Author | : John Tabak |

Release | : 2014-05-14 |

Editor | : Infobase Publishing |

Pages | : 241 |

ISBN | : 9780816068739 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

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.

## Probability and Statistics with R

Author | : Maria Dolores Ugarte,Ana F. Militino,Alan T. Arnholt |

Release | : 2008-04-11 |

Editor | : CRC Press |

Pages | : 710 |

ISBN | : 9781584888925 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

Designed for an intermediate undergraduate course, Probability and Statistics with R shows students how to solve various statistical problems using both parametric and nonparametric techniques via the open source software R. It provides numerous real-world examples, carefully explained proofs, end-of-chapter problems, and illuminating graphs

## Understanding Probability and Statistics

Author | : Ruma Falk,Raphael Falk |

Release | : 1993-04-15 |

Editor | : A K Peters/CRC Press |

Pages | : 264 |

ISBN | : UVA:X002327605 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

## Introduction to Probability and Mathematical Statistics

Author | : Lee J. Bain,Max Engelhardt |

Release | : 2000-03-01 |

Editor | : Duxbury Press |

Pages | : 644 |

ISBN | : 0534380204 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

The Second Edition of INTRODUCTION TO PROBABILITY AND MATHEMATICAL STATISTICS focuses on developing the skills to build probability (stochastic) models. Lee J. Bain and Max Engelhardt focus on the mathematical development of the subject, with examples and exercises oriented toward applications.

## An Introduction to Probability and Statistics

Author | : Vijay K. Rohatgi,A.K. Md. Ehsanes Saleh |

Release | : 2015-09-01 |

Editor | : John Wiley & Sons |

Pages | : 728 |

ISBN | : 9781118799659 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

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 regression A reorganized chapter on large sample theory to emphasize the growing role of asymptotic statistics Additional topical coverage on bootstrapping, estimation procedures, and resampling Discussions on invariance, ancillary statistics, conjugate prior distributions, and invariant confidence intervals Over 550 problems and answers to most problems, as well as 350 worked out examples and 200 remarks Numerous figures to further illustrate examples and proofs throughout An Introduction to Probability and Statistics, Third Edition is an ideal reference and resource for scientists and engineers in the fields of statistics, mathematics, physics, industrial management, and engineering. The book is also an excellent text for upper-undergraduate and graduate-level students majoring in probability and statistics.

## Introduction to Probability and Statistics for Engineers and Scientists

Author | : Sheldon M. Ross |

Release | : 1987 |

Editor | : John Wiley & Sons Incorporated |

Pages | : 534 |

ISBN | : UOM:39015013026342 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

Elements of probability; Random variables and expectation; Special; random variables; Sampling; Parameter estimation; Hypothesis testing; Regression; Analysis of variance; Goodness of fit and nonparametric testing; Life testing; Quality control; Simulation.

## Probability and Statistics for Economists

Author | : Bruce Hansen |

Release | : 2022-06-28 |

Editor | : Princeton University Press |

Pages | : 417 |

ISBN | : 9780691236148 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

A comprehensive and up-to-date introduction to the mathematics that all economics students need to know Probability theory is the quantitative language used to handle uncertainty and is the foundation of modern statistics. Probability and Statistics for Economists provides graduate and PhD students with an essential introduction to mathematical probability and statistical theory, which are the basis of the methods used in econometrics. This incisive textbook teaches fundamental concepts, emphasizes modern, real-world applications, and gives students an intuitive understanding of the mathematics that every economist needs to know. Covers probability and statistics with mathematical rigor while emphasizing intuitive explanations that are accessible to economics students of all backgrounds Discusses random variables, parametric and multivariate distributions, sampling, the law of large numbers, central limit theory, maximum likelihood estimation, numerical optimization, hypothesis testing, and more Features hundreds of exercises that enable students to learn by doing Includes an in-depth appendix summarizing important mathematical results as well as a wealth of real-world examples Can serve as a core textbook for a first-semester PhD course in econometrics and as a companion book to Bruce E. Hansen’s Econometrics Also an invaluable reference for researchers and practitioners

## Applied Probability and Statistics

Author | : Mario Lefebvre |

Release | : 2007-04-03 |

Editor | : Springer Science & Business Media |

Pages | : 358 |

ISBN | : 9780387285054 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

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 a useful bibliography. A distinguishing character of the book is its thorough and succinct handling of the varied topics.

## Everyday Probability and Statistics

Author | : M. M. Woolfson |

Release | : 2008 |

Editor | : Imperial College Press |

Pages | : 234 |

ISBN | : 9781848160330 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

Probability and statistics impinge on the life of the average person in a variety of ways OCo as is suggested by the title of this book. Very often, information is provided that is factually accurate but intended to present a biased view. This book presents the important results of probability and statistics without making heavy mathematical demands on the reader. It should enable an intelligent reader to properly assess statistical information and to understand that the same information can be presented in different ways.

## Probability and Statistics by Example

Author | : Yuri Suhov,Mark Kelbert |

Release | : 2014-09-22 |

Editor | : Cambridge University Press |

Pages | : 477 |

ISBN | : 9781107603585 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

A valuable resource for students and teachers alike, this second edition contains more than 200 worked examples and exam questions.

## Probability and Statistics

Author | : E. Rukmangadachari,E. Reddy |

Release | : 2015 |

Editor | : Unknown |

Pages | : 400 |

ISBN | : OCLC:1112549458 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

This book is designed for engineering students studying for the core paper on probability and statistics. The topics have been dealt in a coherent manner, supported by illustrations for better compre¬hension. Each chapter is replete with examples and exercises. The book also has numerous Multiple Choice Questions at the end of each chapter, thus providing the student with an abundant repository of exam specific problems.

## Probability and Statistics

Author | : Arak M. Mathai,Hans J. Haubold |

Release | : 2017-12-18 |

Editor | : Walter de Gruyter GmbH & Co KG |

Pages | : 604 |

ISBN | : 9783110562606 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

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 Tests of statistical hypotheses Model building and regression Design of experiments and analysis of variance Questions and answers

## A History of Probability and Statistics and Their Applications before 1750

Author | : Anders Hald |

Release | : 2005-02-25 |

Editor | : John Wiley & Sons |

Pages | : 608 |

ISBN | : 9780471725176 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. From the Reviews of History of Probability and Statistics and Their Applications before 1750 "This is a marvelous book . . . Anyone with the slightest interest in the history of statistics, or in understanding how modern ideas have developed, will find this an invaluable resource." –Short Book Reviews of ISI

## Probability and Statistics for Computer Science

Author | : David Forsyth |

Release | : 2017-12-13 |

Editor | : Springer |

Pages | : 367 |

ISBN | : 9783319644103 |

Language | : en |

Available for | : |

**DESCRIPTION BOOK:**

This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning. With careful treatment of topics that fill the curricular needs for the course, Probability and Statistics for Computer Science features: • A treatment of random variables and expectations dealing primarily with the discrete case. • A practical treatment of simulation, showing how many interesting probabilities and expectations can be extracted, with particular emphasis on Markov chains. • A clear but crisp account of simple point inference strategies (maximum likelihood; Bayesian inference) in simple contexts. This is extended to cover some confidence intervals, samples and populations for random sampling with replacement, and the simplest hypothesis testing. • A chapter dealing with classification, explaining why it’s useful; how to train SVM classifiers with stochastic gradient descent; and how to use implementations of more advanced methods such as random forests and nearest neighbors. • A chapter dealing with regression, explaining how to set up, use and understand linear regression and nearest neighbors regression in practical problems. • A chapter dealing with principal components analysis, developing intuition carefully, and including numerous practical examples. There is a brief description of multivariate scaling via principal coordinate analysis. • A chapter dealing with clustering via agglomerative methods and k-means, showing how to build vector quantized features for complex signals. Illustrated throughout, each main chapter includes many worked examples and other pedagogical elements such as boxed Procedures, Definitions, Useful Facts, and Remember This (short tips). Problems and Programming Exercises are at the end of each chapter, with a summary of what the reader should know. Instructor resources include a full set of model solutions for all problems, and an Instructor's Manual with accompanying presentation slides.