Probability and Statistics

Probability and Statistics
Available:
Author: Michael J. Evans,Jeffrey S. Rosenthal
Pages: 200
ISBN: 1429224630
Release: 2010-03-01
Editor: WH Freeman

DESCRIPTION OF THE 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.

An Introduction to Probability and Statistics

An Introduction to Probability and Statistics
Available:
Author: Vijay K. Rohatgi,A.K. Md. Ehsanes Saleh
Pages: 728
ISBN: 9781118799680
Release: 2015-08-06
Editor: John Wiley & Sons

DESCRIPTION OF THE 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.

Probability and Statistics with Integrated Software Routines

Probability and Statistics with Integrated Software Routines
Available:
Author: Ronald Deep
Pages: 686
ISBN: 9780123694638
Release: 2006
Editor: Academic Press

DESCRIPTION OF THE BOOK:

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, data gathering, testing, redesign, validating, etc, all wrapped up in the scientific method. See also: CD to accompany Probability and Stats with Integrated Software Routines (0123694698) * Incorporates more than 1,000 engaging problems with answers * Includes more than 300 solved examples * Uses varied problem solving methods

Probability and Statistics

Probability and Statistics
Available:
Author: E. Rukmangadachari
Pages: 248
ISBN: 8131761363
Release: 2012
Editor: Pearson Education India

DESCRIPTION OF THE BOOK:

This book is designed for engineering students studying the core paper on probability and statistics during their second or third years. It includes detailed explanation of theory with numerous examples and exercises, as well as relevant references to engineering applications. Each chapter also has numerous objective type questions and answers and hints are provided for all the exercise problems and objective type questions.

Probability and Statistics

Probability and Statistics
Available:
Author: José I. Barragués,Adolfo Morais,Jenaro Guisasola
Pages: 490
ISBN: 9781482219807
Release: 2016-04-19
Editor: CRC Press

DESCRIPTION OF THE 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.

Introduction to Probability Statistics and Random Processes

Introduction to Probability  Statistics  and Random Processes
Available:
Author: Hossein Pishro-Nik
Pages: 746
ISBN: 0990637204
Release: 2014-08-15
Editor: Unknown

DESCRIPTION OF THE 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.

Everyday Probability and Statistics

Everyday Probability and Statistics
Available:
Author: Michael Mark Woolfson
Pages: 278
ISBN: 9781848167612
Release: 2012
Editor: World Scientific

DESCRIPTION OF THE BOOK:

"Probability and statistics impinge on the life of the average person in a variety of ways--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. In this second edition, the author presents a new chapter exploring science and society including the way that scientists communicate with the public on current topics such as global warming. The book also investigates pensions and pension policy, and how they are influenced by changing actuarial tables"--P. [4] of cover.

An Introduction to Probability and Statistics Using Basic

An Introduction to Probability and Statistics Using Basic
Available:
Author: Richard A. Groeneveld
Pages: 464
ISBN: 9781000146271
Release: 2020-09-24
Editor: CRC Press

DESCRIPTION OF THE BOOK:

This volume introduces the theoretical ideas in probability and statistics by means of examples. The strengths of the BASIC computer language are exploited to illustrate probabilistic and statistical ideas. Topics described by the Committee on the Under-graduate Program in Mathematics are included.

Introduction to Probability and Statistics

Introduction to Probability and Statistics
Available:
Author: William Mendenhall,Robert J. Beaver,Barbara M. Beaver
Pages: 744
ISBN: 1133103758
Release: 2012-01-01
Editor: Cengage Learning

DESCRIPTION OF THE BOOK:

Used by hundreds of thousands of students since its first edition, INTRODUCTION TO PROBABILITY AND STATISTICS, Fourteenth Edition, continues to blend the best of its proven, error-free coverage with new innovations. Written for the higher end of the traditional introductory statistics market, the book takes advantage of modern technology--including computational software and interactive visual tools--to facilitate statistical reasoning as well as the interpretation of statistical results. In addition to showing how to apply statistical procedures, the authors explain how to describe real sets of data meaningfully, what the statistical tests mean in terms of their practical applications, how to evaluate the validity of the assumptions behind statistical tests, and what to do when statistical assumptions have been violated. The new edition retains the statistical integrity, examples, exercises, and exposition that have made this text a market leader--and builds upon this tradition of excellence with new technology integration. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Probability and Statistical Inference

Probability and Statistical Inference
Available:
Author: Nitis Mukhopadhyay
Pages: 665
ISBN: 0824703790
Release: 2000-03-22
Editor: CRC Press

DESCRIPTION OF THE BOOK:

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 with an introduction to the basic ideas and techniques in probability theory and progressing to more rigorous topics, Probability and Statistical Inference studies the Helmert transformation for normal distributions and the waiting time between failures for exponential distributions develops notions of convergence in probability and distribution spotlights the central limit theorem (CLT) for the sample variance introduces sampling distributions and the Cornish-Fisher expansions concentrates on the fundamentals of sufficiency, information, completeness, and ancillarity explains Basu's Theorem as well as location, scale, and location-scale families of distributions covers moment estimators, maximum likelihood estimators (MLE), Rao-Blackwellization, and the Cramér-Rao inequality discusses uniformly minimum variance unbiased estimators (UMVUE) and Lehmann-Scheffé Theorems focuses on the Neyman-Pearson theory of most powerful (MP) and uniformly most powerful (UMP) tests of hypotheses, as well as confidence intervals includes the likelihood ratio (LR) tests for the mean, variance, and correlation coefficient summarizes Bayesian methods describes the monotone likelihood ratio (MLR) property handles variance stabilizing transformations provides a historical context for statistics and statistical discoveries showcases great statisticians through biographical notes Employing over 1400 equations to reinforce its subject matter, Probability and Statistical Inference is a groundbreaking text for first-year graduate and upper-level undergraduate courses in probability and statistical inference who have completed a calculus prerequisite, as well as a supplemental text for classes in Advanced Statistical Inference or Decision Theory.

A Modern Introduction to Probability and Statistics

A Modern Introduction to Probability and Statistics
Available:
Author: F.M. Dekking,C. Kraaikamp,H.P. Lopuhaä,L.E. Meester
Pages: 488
ISBN: 9781846281686
Release: 2006-03-30
Editor: Springer Science & Business Media

DESCRIPTION OF THE 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

A Modern Introduction to Probability and Statistics

A Modern Introduction to Probability and Statistics
Available:
Author: F.M. Dekking,C. Kraaikamp,H.P. Lopuhaä,L.E. Meester
Pages: 486
ISBN: 9781852338961
Release: 2005
Editor: Springer Science & Business Media

DESCRIPTION OF THE BOOK:

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

Introduction to Probability
Available:
Author: Joseph K. Blitzstein,Jessica Hwang
Pages: 596
ISBN: 9781498759762
Release: 2014-07-24
Editor: CRC Press

DESCRIPTION OF THE BOOK:

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional

Probability and Statistics for Engineering and the Sciences 9e International Metric Edition

Probability and Statistics for Engineering and the Sciences  9e  International Metric Edition
Available:
Author: Anonim
Pages: 329
ISBN: 1337094269
Release: 2016
Editor: Unknown

DESCRIPTION OF THE BOOK:

Elements of Probability and Statistics

Elements of Probability and Statistics
Available:
Author: Baisnab A P,A P Baisnab Manoranjan Jas
Pages: 408
ISBN: 0074600419
Release: 1993
Editor: Tata McGraw-Hill Education

DESCRIPTION OF THE BOOK:

Probability and Statistics with Applications A Problem Solving Text

Probability and Statistics with Applications  A Problem Solving Text
Available:
Author: Leonard Asimow, Ph.D., ASA,Mark Maxwell, Ph.D., ASA
Pages: 600
ISBN: 9781625424723
Release: 2015-06-30
Editor: ACTEX Publications

DESCRIPTION OF THE BOOK:

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 are integrated throughout the text along with an abundance of illustrative examples and 870 exercises. The book provides the content to serve as the primary text for a standard two-semester advanced undergraduate course in mathematical probability and statistics. 2nd Edition Highlights Expansion of statistics portion to cover CAS ST and all of the statistics portion of CAS SAbundance of examples and sample exam problems for both Exams SOA P and CAS SCombines best attributes of a solid text and an actuarial exam study manual in one volumeWidely used by college freshmen and sophomores to pass SOA Exam P early in their college careersMay be used concurrently with calculus coursesNew or rewritten sections cover topics such as discrete and continuous mixture distributions, non-homogeneous Poisson processes, conjugate pairs in Bayesian estimation, statistical sufficiency, non-parametric statistics, and other topics also relevant to SOA Exam C.

Probability for Statistics and Machine Learning

Probability for Statistics and Machine Learning
Available:
Author: Anirban DasGupta
Pages: 784
ISBN: 1441996338
Release: 2011-05-19
Editor: Springer

DESCRIPTION OF THE BOOK:

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 its superb exercise sets, detailed bibliography, and in its substantive treatment of many topics of current importance. This book can be used as a text for a year long graduate course in statistics, computer science, or mathematics, for self-study, and as an invaluable research reference on probabiliity and its applications. Particularly worth mentioning are the treatments of distribution theory, asymptotics, simulation and Markov Chain Monte Carlo, Markov chains and martingales, Gaussian processes, VC theory, probability metrics, large deviations, bootstrap, the EM algorithm, confidence intervals, maximum likelihood and Bayes estimates, exponential families, kernels, and Hilbert spaces, and a self contained complete review of univariate probability.

Probability and Statistics

Probability and Statistics
Available:
Author: Arak M. Mathai,Hans J. Haubold
Pages: 604
ISBN: 9783110562606
Release: 2017-12-18
Editor: Walter de Gruyter GmbH & Co KG

DESCRIPTION OF THE 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

Introductory Statistics

Introductory Statistics
Available:
Author: Barbara Illowsky,Susan Dean
Pages: 906
ISBN: 9888407309
Release: 2017-12-19
Editor: Unknown

DESCRIPTION OF THE BOOK:

Introductory Statistics is designed for the one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean. Additional topics, examples, and ample opportunities for practice have been added to each chapter. The development choices for this textbook were made with the guidance of many faculty members who are deeply involved in teaching this course. These choices led to innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students. We strove to make the discipline meaningful, so that students can draw from it a working knowledge that will enrich their future studies and help them make sense of the world around them. Coverage and Scope Chapter 1 Sampling and Data Chapter 2 Descriptive Statistics Chapter 3 Probability Topics Chapter 4 Discrete Random Variables Chapter 5 Continuous Random Variables Chapter 6 The Normal Distribution Chapter 7 The Central Limit Theorem Chapter 8 Confidence Intervals Chapter 9 Hypothesis Testing with One Sample Chapter 10 Hypothesis Testing with Two Samples Chapter 11 The Chi-Square Distribution Chapter 12 Linear Regression and Correlation Chapter 13 F Distribution and One-Way ANOVA

Probability and Statistics for Data Science

Probability and Statistics for Data Science
Available:
Author: Norman Matloff
Pages: 412
ISBN: 9780429687129
Release: 2019-06-21
Editor: CRC Press

DESCRIPTION OF THE BOOK:

Probability and Statistics for Data Science: Math + R + Data covers "math stat"—distributions, expected value, estimation etc.—but takes the phrase "Data Science" in the title quite seriously: * Real datasets are used extensively. * All data analysis is supported by R coding. * Includes many Data Science applications, such as PCA, mixture distributions, random graph models, Hidden Markov models, linear and logistic regression, and neural networks. * Leads the student to think critically about the "how" and "why" of statistics, and to "see the big picture." * Not "theorem/proof"-oriented, but concepts and models are stated in a mathematically precise manner. Prerequisites are calculus, some matrix algebra, and some experience in programming. Norman Matloff is a professor of computer science at the University of California, Davis, and was formerly a statistics professor there. He is on the editorial boards of the Journal of Statistical Software and The R Journal. His book Statistical Regression and Classification: From Linear Models to Machine Learning was the recipient of the Ziegel Award for the best book reviewed in Technometrics in 2017. He is a recipient of his university's Distinguished Teaching Award.