# Search Results for "probability-and-statistics-pearson-new-international-edition"

## Probability and Statistics: Pearson New International Edition

**Author**: Morris H. DeGroot,Mark J. Schervish**Publisher:**Pearson Higher Ed**ISBN:**1292037679**Category:**Mathematics**Page:**848**View:**3538

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. Probability & Statistics, Fourth Edition, was written for a one- or two-semester probability and statistics course. This course is offered primarily at four-year institutions and taken mostly by sophomore and junior level students majoring in mathematics or statistics. Calculus is a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.

## Probability and Statistics

**Author**: Morris H. DeGroot,Mark J. Schervish**Publisher:**Pearson College Division**ISBN:**9780321500465**Category:**Mathematics**Page:**893**View:**4034

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.

## Probability and Statistical Inference: Pearson New International Edition

**Author**: Robert V. Hogg,Elliot A. Tanis**Publisher:**N.A**ISBN:**9781292024783**Category:**Mathematical statistics**Page:**640**View:**5352

Written by two leading statisticians, this applied introduction to the mathematics of probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts.

## A First Course in Probability and Markov Chains

**Author**: Giuseppe Modica,Laura Poggiolini**Publisher:**John Wiley & Sons**ISBN:**111847774X**Category:**Mathematics**Page:**352**View:**3515

Provides an introduction to basic structures of probability with a view towards applications in information technology A First Course in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on two main areas. The first part explores notions and structures in probability, including combinatorics, probability measures, probability distributions, conditional probability, inclusion-exclusion formulas, random variables, dispersion indexes, independent random variables as well as weak and strong laws of large numbers and central limit theorem. In the second part of the book, focus is given to Discrete Time Discrete Markov Chains which is addressed together with an introduction to Poisson processes and Continuous Time Discrete Markov Chains. This book also looks at making use of measure theory notations that unify all the presentation, in particular avoiding the separate treatment of continuous and discrete distributions. A First Course in Probability and Markov Chains: Presents the basic elements of probability. Explores elementary probability with combinatorics, uniform probability, the inclusion-exclusion principle, independence and convergence of random variables. Features applications of Law of Large Numbers. Introduces Bernoulli and Poisson processes as well as discrete and continuous time Markov Chains with discrete states. Includes illustrations and examples throughout, along with solutions to problems featured in this book. The authors present a unified and comprehensive overview of probability and Markov Chains aimed at educating engineers working with probability and statistics as well as advanced undergraduate students in sciences and engineering with a basic background in mathematical analysis and linear algebra.

## Student Solutions Manual for Probability and Statistics

**Author**: Morris H. DeGroot,Mark J. Schervish**Publisher:**Pearson College Division**ISBN:**9780321715982**Category:**Mathematics**Page:**226**View:**1629

This manual contains completely worked-out solutions for all the odd-numbered exercises in the text.

## Probability and Statistics for Engineers and Scientists: Pearson New International Edition

**Author**: Ronald E. Walpole,Raymond H. Myers,Sharon L. Myers,Keying E. Ye**Publisher:**Pearson Higher Ed**ISBN:**1292037032**Category:****Page:**864**View:**1899

For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding. This latest edition is also available in as an enhanced Pearson eText. This exciting new version features an embedded version of StatCrunch, allowing students to analyze data sets while reading the book.

## Mathematical Statistics and Data Analysis

**Author**: John A. Rice**Publisher:**Cengage Learning**ISBN:**0534399428**Category:**Mathematics**Page:**688**View:**5156

This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book's descriptive statistics, graphical displays, and realistic applications stand in strong contrast to traditional texts that are set in abstract settings. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

## First Course in Probability, A: Pearson New International Edition

**Author**: Sheldon Ross**Publisher:**Pearson Higher Ed**ISBN:**1292037563**Category:**Mathematics**Page:**464**View:**8813

A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.

## Miller & Freund's Probability and Statistics for Engineers, Global Edition

**Author**: Richard A. Johnson,Irwin Miller,John Freund**Publisher:**Pearson Higher Ed**ISBN:**1292176032**Category:**Mathematics**Page:**552**View:**7490

For an introductory, one or two semester, or sophomore-junior level course in Probability and Statistics or Applied Statistics for engineering, physical science, and mathematics students. An Applications-Focused Introduction to Probability and Statistics Miller & Freund's Probability and Statistics for Engineers is rich in exercises and examples, and explores both elementary probability and basic statistics, with an emphasis on engineering and science applications. Much of the data has been collected from the author's own consulting experience and from discussions with scientists and engineers about the use of statistics in their fields. In later chapters, the text emphasizes designed experiments, especially two-level factorial design. The Ninth Edition includes several new datasets and examples showing application of statistics in scientific investigations, familiarizing students with the latest methods, and readying them to become real-world engineers and scientists.

## Miller & Freund's Probability and Statistics for Engineers: Pearson New International Edition

**Author**: Richard A. Johnson,Irwin Miller,John Freund**Publisher:**Pearson Higher Ed**ISBN:**1292036966**Category:****Page:**776**View:**3482

For an introductory, one or two semester, sophomore-junior level course in Probability and Statistics or Applied Statistics for engineering, physical science, and mathematics students. This text is rich in exercises and examples, and explores both elementary probability and basic statistics, with an emphasis on engineering and science applications. Much of the data have been collected from the author's own consulting experience and from discussions with scientists and engineers about the use of statistics in their fields. In later chapters, the text emphasizes designed experiments, especially two-level factorial design.

## Fundamentals of Probability: A First Course

**Author**: Anirban DasGupta**Publisher:**Springer Science & Business Media**ISBN:**1441957804**Category:**Mathematics**Page:**450**View:**6001

Probability theory is one branch of mathematics that is simultaneously deep and immediately applicable in diverse areas of human endeavor. It is as fundamental as calculus. Calculus explains the external world, and probability theory helps predict a lot of it. In addition, problems in probability theory have an innate appeal, and the answers are often structured and strikingly beautiful. A solid background in probability theory and probability models will become increasingly more useful in the twenty-?rst century, as dif?cult new problems emerge, that will require more sophisticated models and analysis. Thisisa text onthe fundamentalsof thetheoryofprobabilityat anundergraduate or ?rst-year graduate level for students in science, engineering,and economics. The only mathematical background required is knowledge of univariate and multiva- ate calculus and basic linear algebra. The book covers all of the standard topics in basic probability, such as combinatorial probability, discrete and continuous distributions, moment generating functions, fundamental probability inequalities, the central limit theorem, and joint and conditional distributions of discrete and continuous random variables. But it also has some unique features and a forwa- looking feel.

## Essentials of Probability & Statistics for Engineers & Scientists: Pearson New International Edition

**Author**: Ronald E. Walpole,Raymond Myers,Sharon L. Myers,Keying E. Ye**Publisher:**Pearson Higher Ed**ISBN:**1292035730**Category:****Page:**480**View:**3344

For junior/senior undergraduates taking a one-semester probability and statistics course as applied to engineering, science, or computer science. This text covers the essential topics needed for a fundamental understanding of basic statistics and its applications in the fields of engineering and the sciences. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. Students using this text should have the equivalent of the completion of one semester of differential and integral calculus.

## Stats

*Data and Models, Second Canadian Edition,*

**Author**: Richard D. De Veaux,Paul Velleman,David E. Bock,Augustin M. Vukov,Augustine Wong**Publisher:**Pearson Canada**ISBN:**0321976584**Category:**Mathematics**Page:**1032**View:**7017

## Elementary Probability

**Author**: David Stirzaker**Publisher:**Cambridge University Press**ISBN:**9781139441032**Category:**Mathematics**Page:**N.A**View:**6993

Now available in a fully revised and updated second edition, this well established textbook provides a straightforward introduction to the theory of probability. The presentation is entertaining without any sacrifice of rigour; important notions are covered with the clarity that the subject demands. Topics covered include conditional probability, independence, discrete and continuous random variables, basic combinatorics, generating functions and limit theorems, and an introduction to Markov chains. The text is accessible to undergraduate students and provides numerous worked examples and exercises to help build the important skills necessary for problem solving.

## Statistics

*The Art and Science of Learning from Data -Preliminary Edition*

**Author**: Alan Agresti,Christine A. Franklin**Publisher:**Prentice Hall**ISBN:**9780131857643**Category:**Statistics**Page:**616**View:**2329

Provides a conceptual introduction to introductory statistics that is accessible to students. This work is designed for algebra-based Introductory Statistics Courses.

## Introduction to Probability

**Author**: Joseph K. Blitzstein,Jessica Hwang**Publisher:**CRC Press**ISBN:**1498759769**Category:**Mathematics**Page:**596**View:**6903

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 application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.

## Introduction to Probability and Statistics

**Author**: William Mendenhall,Robert J. Beaver,Barbara M. Beaver**Publisher:**Cengage Learning**ISBN:**1133711677**Category:**Mathematics**Page:**744**View:**9251

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.

## An Introduction to Mathematical Statistics and Its Applications

**Author**: Richard J. Larsen,Morris L. Marx**Publisher:**Pearson**ISBN:**0134114248**Category:**Mathematics**Page:**768**View:**4160

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For courses in Mathematical Statistics Introducing the principles of statistics and data modeling Introduction to Mathematical Statistics and Its Applications , 6th Edition is a high-level calculus student’s first exposure to mathematical statistics. This book provides students who have already taken three or more semesters of calculus with the background to apply statistical principles. Meaty enough to guide a two-semester course, the book touches on both statistics and experimental design, which teaches students various ways to analyze data. It gives computational-minded students a necessary and realistic exposure to identifying data models.

## A Modern Introduction to Probability and Statistics

*Understanding Why and How*

**Author**: F.M. Dekking,C. Kraaikamp,H.P. Lopuhaä,L.E. Meester**Publisher:**Springer Science & Business Media**ISBN:**1846281687**Category:**Mathematics**Page:**488**View:**990

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