• Mathematics

An Introduction to Mathematical Statistics and Its Applications


Author: Richard J. Larsen,Morris L. Marx
Publisher: Pearson
ISBN: 0134114248
Category: Mathematics
Page: 768
View: 7901
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.

    • Mathematics

An Introduction to Mathematical Statistics and Its Applications


Author: Richard J. Larsen,Morris L. Marx
Publisher: Pearson College Division
ISBN: 9780321693945
Category: Mathematics
Page: 757
View: 9119
Noted for its integration of real-world data and case studies, this text offers sound coverage of the theoretical aspects of mathematical statistics. The authors demonstrate how and when to use statistical methods, while reinforcing the calculus that students have mastered in previous courses. Throughout the Fifth Edition, the authors have added and updated examples and case studies, while also refining existing features that show a clear path from theory to practice.

    • Mathematical statistics

An Introduction to Mathematical Statistics and Its Applications


Author: Richard J. Larsen,Morris L. Marx
Publisher: Pearson Educacion
ISBN: 9780321766564
Category: Mathematical statistics
Page: 757
View: 6753
Offering comprehensive coverage of the theoretical aspects of mathematical statistics, this text demonstrates how and when to use statistical methods, while reinforcing the calculus that students will have mastered in previous courses.

    • Mathematics

An Introduction to Statistical Learning

with Applications in R
Author: Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani
Publisher: Springer Science & Business Media
ISBN: 1461471389
Category: Mathematics
Page: 426
View: 4380
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.


    • Mathematics

Mathematical Statistics with Resampling and R


Author: Laura M. Chihara,Tim C. Hesterberg
Publisher: John Wiley & Sons
ISBN: 1119416523
Category: Mathematics
Page: 560
View: 4449
This thoroughly updated second edition combines the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The second edition of Mathematical Statistics with Resampling and R combines modern resampling techniques and mathematical statistics. This book has been classroom-tested to ensure an accessible presentation, uses the powerful and flexible computer language R for data analysis and explores the benefits of modern resampling techniques. This book offers an introduction to permutation tests and bootstrap methods that can serve to motivate classical inference methods. The book strikes a balance between theory, computing, and applications, and the new edition explores additional topics including consulting, paired t test, ANOVA and Google Interview Questions. Throughout the book, new and updated case studies are included representing a diverse range of subjects such as flight delays, birth weights of babies, and telephone company repair times. These illustrate the relevance of the real-world applications of the material. This new edition: • Puts the focus on statistical consulting that emphasizes giving a client an understanding of data and goes beyond typical expectations • Presents new material on topics such as the paired t test, Fisher's Exact Test and the EM algorithm • Offers a new section on "Google Interview Questions" that illustrates statistical thinking • Provides a new chapter on ANOVA • Contains more exercises and updated case studies, data sets, and R code Written for undergraduate students in a mathematical statistics course as well as practitioners and researchers, the second edition of Mathematical Statistics with Resampling and R presents a revised and updated guide for applying the most current resampling techniques to mathematical statistics.

    • Business & Economics

Statistics for Applied Problem Solving and Decision Making


Author: Richard J. Larsen,Morris L. Marx,Bruce Cooil
Publisher: South-Western Pub
ISBN: 9780534930844
Category: Business & Economics
Page: 861
View: 6763
Intended for the applied calculus-based, introductory statistics course for business and economics undergraduates and MBAs, this book presents business statistics as a problem-solving process, rather than as a means to achieve a numerical solution. Applied, data-driven, and copmuter-oriented, it emphasizes the principles of statistics as a foundation for application of statistical methodologies and real-life problems. Curve fitting and regression are introduced early, allowing students to use the computer from the start of the course. Statistical and spreadsheet software help students make the connections between probability models and actual data. The authors include sparing and careful use of calculus at critical points where a simple calculus reference or computation can totally eliminate the perplexing arbitrariness that is seen in 'cookbook' approaches.

    • Mathematics

Introduction to Probability and Mathematical Statistics


Author: Lee J. Bain,Max Engelhardt
Publisher: Duxbury Press
ISBN: 9780534380205
Category: Mathematics
Page: 644
View: 3214
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.

    • Mathematics

Introduction to Probability and Statistics for Engineers and Scientists


Author: Sheldon M. Ross
Publisher: Academic Press
ISBN: 0123948428
Category: Mathematics
Page: 686
View: 1529
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 the previous editions, Ross' text has tremendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications connect probability theory to everyday statistical problems and situations. Clear exposition by a renowned expert author Real data examples that use significant real data from actual studies across life science, engineering, computing and business End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material 25% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science New additions to proofs in the estimation section New coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions.

    • Mathematics

Elementary Introduction to Number Theory


Author: Calvin T. Long
Publisher: Waveland PressInc
ISBN: 9780881338362
Category: Mathematics
Page: 292
View: 9346
This accessible Third Edition incorporates especially complete & detailed arguments, illustrating definitions, theorems, & subtleties of proof with explicit numerical examples whenever possible.

    • Mathematics

Introduction to Mathematical Statistics: Pearson New International Edition


Author: Robert V. Hogg,Joeseph McKean,Allen T Craig
Publisher: Pearson Higher Ed
ISBN: 1292037628
Category: Mathematics
Page: 656
View: 8475
Introduction to Mathematical Statistics, Seventh Edition, provides students with a comprehensive introduction to mathematical statistics. Continuing its proven approach, the Seventh Edition has been updated with new examples, exercises, and content for an even stronger presentation of the material.

    • Mathematics

Introduction to Probability and Its Applications


Author: Richard Scheaffer,Linda Young
Publisher: Cengage Learning
ISBN: 0534386717
Category: Mathematics
Page: 480
View: 4515
This text focuses on the utility of probability in solving real-world problems for students in a one-semester calculus-based probability course. Theory is developed to a practical degree and grounded in discussion of its practical uses in solving real-world problems. Numerous applications using up-to-date real data in engineering and the life, social, and physical sciences illustrate and motivate the many ways probability affects our lives. The text’s accessible presentation carefully progresses from routine to more difficult problems to suit students of different backgrounds, and carefully explains how and where to apply methods. Students going on to more advanced courses in probability and statistics will gain a solid background in fundamental concepts and theory, while students who must apply probability to their courses engineering and the sciences will develop a working knowledge of the subject and appreciation of its practical power. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

    • Matematisk statistik

Mathematical Statistics with Applications


Author: Dennis D. Wackerly,William Mendenhall,Richard L. Scheaffer
Publisher: Cengage Learning
ISBN: 9780495385080
Category: Matematisk statistik
Page: 912
View: 5323
The authors present the theory of statistics in the context of practical problem solving and real world applications. This practical approach helps you discover the nature of statistics and comprehend its essential role in scientific research.--

    • Mathematics

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: 8439
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

    • Technology & Engineering

Applied Statistics and Probability for Engineers, Student Solutions Manual


Author: Douglas C. Montgomery,George C. Runger
Publisher: John Wiley & Sons
ISBN: 047088844X
Category: Technology & Engineering
Page: 398
View: 7661
Montgomery and Runger's bestselling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. By providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers. With a focus on how statistical tools are integrated into the engineering problem-solving process, all major aspects of engineering statistics are covered. Developed with sponsorship from the National Science Foundation, this text incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions.

    • Mathematics

Linear Algebra and Its Applications


Author: David C. Lay,Steven R. Lay,Judith McDonald
Publisher: Pearson
ISBN: 9780321982384
Category: Mathematics
Page: 576
View: 1799
NOTE: Before purchasing, check with your instructor to ensure you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, and registrations are not transferable. To register for and use Pearson's MyLab & Mastering products, you may also need a Course ID, which your instructor will provide. Used books, rentals, and purchases made outside of Pearson If purchasing or renting from companies other than Pearson, the access codes for Pearson's MyLab & Mastering products may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase. Note: You are purchasing a standalone product; MyMathLab does not come packaged with this content. MyMathLab is not a self-paced technology and should only be purchased when required by an instructor. If you would like to purchase both the physical text and MyMathLab, search for: 9780134022697 / 0134022696 Linear Algebra and Its Applications plus New MyMathLab with Pearson eText -- Access Card Package, 5/e With traditional linear algebra texts, the course is relatively easy for students during the early stages as material is presented in a familiar, concrete setting. However, when abstract concepts are introduced, students often hit a wall. Instructors seem to agree that certain concepts (such as linear independence, spanning, subspace, vector space, and linear transformations) are not easily understood and require time to assimilate. These concepts are fundamental to the study of linear algebra, so students' understanding of them is vital to mastering the subject. This text makes these concepts more accessible by introducing them early in a familiar, concrete Rn setting, developing them gradually, and returning to them throughout the text so that when they are discussed in the abstract, students are readily able to understand.

    • Mathematics

Introduction to Linear Algebra


Author: Serge Lang
Publisher: Springer Science & Business Media
ISBN: 1461210704
Category: Mathematics
Page: 293
View: 581
This is a short text in linear algebra, intended for a one-term course. In the first chapter, Lang discusses the relation between the geometry and the algebra underlying the subject, and gives concrete examples of the notions which appear later in the book. He then starts with a discussion of linear equations, matrices and Gaussian elimination, and proceeds to discuss vector spaces, linear maps, scalar products, determinants, and eigenvalues. The book contains a large number of exercises, some of the routine computational type, while others are conceptual.

    • Mathematics

Introduction to Statistics and Data Analysis


Author: Roxy Peck,Chris Olsen,Jay L. Devore
Publisher: Cengage Learning
ISBN: 1305445961
Category: Mathematics
Page: 844
View: 7668
Roxy Peck, Chris Olsen, and Jay Devore's new edition uses real data and attention-grabbing examples to introduce students to the study of statistics and data analysis. Traditional in structure yet modern in approach, this text guides students through an intuition-based learning process that stresses interpretation and communication of statistical information. Simple notation--including frequent substitution of words for symbols--helps students grasp concepts and cement their comprehension. Hands-on activities and interactive applets allow students to practice statistics firsthand. INTRODUCTION TO STATISTICS AND DATA ANALYSIS includes updated coverage of most major technologies, as well as expanded coverage of probability. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

    • Business & Economics

Statistics and Econometrics, Value Edition

Methods and Applications
Author: Orley Ashenfelter,Phillip B. Levine,David J. Zimmerman
Publisher: Wiley
ISBN: 9780470009451
Category: Business & Economics
Page: 320
View: 1835
Every major econometric method is illustrated by a persuasive, real life example applied to real data. * Explores subjects such as sample design, which are critical to practical application econometrics.