Filename: modern-mathematical-statistics-with-applications.pdf
ISBN: 9781461403913
Release Date: 2011-12-07
Number of pages: 845
Author: Jay L. Devore
Publisher: Springer Science & Business Media

Download and read online Modern Mathematical Statistics with Applications in PDF and EPUB Modern Mathematical Statistics with Applications, Second Edition strikes a balance between mathematical foundations and statistical practice. In keeping with the recommendation that every math student should study statistics and probability with an emphasis on data analysis, accomplished authors Jay Devore and Kenneth Berk make statistical concepts and methods clear and relevant through careful explanations and a broad range of applications involving real data. The main focus of the book is on presenting and illustrating methods of inferential statistics that are useful in research. It begins with a chapter on descriptive statistics that immediately exposes the reader to real data. The next six chapters develop the probability material that bridges the gap between descriptive and inferential statistics. Point estimation, inferences based on statistical intervals, and hypothesis testing are then introduced in the next three chapters. The remainder of the book explores the use of this methodology in a variety of more complex settings. This edition includes a plethora of new exercises, a number of which are similar to what would be encountered on the actuarial exams that cover probability and statistics. Representative applications include investigating whether the average tip percentage in a particular restaurant exceeds the standard 15%, considering whether the flavor and aroma of Champagne are affected by bottle temperature or type of pour, modeling the relationship between college graduation rate and average SAT score, and assessing the likelihood of O-ring failure in space shuttle launches as related to launch temperature.

Filename: devore-berk-s-modern-mathematical-statistics-with-applications.pdf
ISBN: 053440474X
Release Date: 2006-01-03
Number of pages: 252
Author: Matthew A. Carlton
Publisher: Duxbury Press

Download and read online Devore Berk s Modern Mathematical Statistics With Applications in PDF and EPUB The Student Solutions Manual provides worked-out solutions to the selected problems in the text.

Filename: probability-and-statistics-for-engineering-and-the-sciences.pdf
ISBN: 9781305465329
Release Date: 2015-01-01
Number of pages: 768
Author: Jay L. Devore
Publisher: Cengage Learning

Download and read online Probability and Statistics for Engineering and the Sciences in PDF and EPUB Put statistical theories into practice with PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9th Edition. Always a favorite with statistics students, this calculus-based text offers a comprehensive introduction to probability and statistics while demonstrating how professionals apply concepts, models, and methodologies in today's engineering and scientific careers. Jay Devore, an award-winning professor and internationally recognized author and statistician, emphasizes authentic problem scenarios in a multitude of examples and exercises, many of which involve real data, to show how statistics makes sense of the world. Mathematical development and derivations are kept to a minimum. The book also includes output, graphics, and screen shots from various statistical software packages to give you a solid perspective of statistics in action. A Student Solutions Manual, which includes worked-out solutions to almost all the odd-numbered exercises in the book, is available. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Filename: a-modern-introduction-to-probability-and-statistics.pdf
ISBN: 9781846281686
Release Date: 2006-03-30
Number of pages: 488
Author: F.M. Dekking
Publisher: Springer Science & Business Media

Download and read online A Modern Introduction to Probability and Statistics in PDF and EPUB 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

Filename: probability-with-applications-in-engineering-science-and-technology.pdf
ISBN: 9783319524016
Release Date: 2017-04-25
Number of pages: 643
Author: Matthew A. Carlton
Publisher: Springer

Download and read online Probability with Applications in Engineering Science and Technology in PDF and EPUB This updated and revised first-course textbook in applied probability provides a contemporary and lively post-calculus introduction to the subject of probability. The exposition reflects a desirable balance between fundamental theory and many applications involving a broad range of real problem scenarios. It is intended to appeal to a wide audience, including mathematics and statistics majors, prospective engineers and scientists, and those business and social science majors interested in the quantitative aspects of their disciplines. The textbook contains enough material for a year-long course, though many instructors will use it for a single term (one semester or one quarter). As such, three course syllabi with expanded course outlines are now available for download on the book’s page on the Springer website. A one-term course would cover material in the core chapters (1-4), supplemented by selections from one or more of the remaining chapters on statistical inference (Ch. 5), Markov chains (Ch. 6), stochastic processes (Ch. 7), and signal processing (Ch. 8 – available exclusively online and specifically designed for electrical and computer engineers, making the book suitable for a one-term class on random signals and noise). For a year-long course, core chapters (1-4) are accessible to those who have taken a year of univariate differential and integral calculus; matrix algebra, multivariate calculus, and engineering mathematics are needed for the latter, more advanced chapters. At the heart of the textbook’s pedagogy are 1,100 applied exercises, ranging from straightforward to reasonably challenging, roughly 700 exercises in the first four “core” chapters alone—a self-contained textbook of problems introducing basic theoretical knowledge necessary for solving problems and illustrating how to solve the problems at hand – in R and MATLAB, including code so that students can create simulations.

Filename: mathematical-statistics-with-applications.pdf
ISBN: 9781111798789
Release Date: 2014-10-27
Number of pages: 944
Author: Dennis Wackerly
Publisher: Cengage Learning

Download and read online Mathematical Statistics with Applications in PDF and EPUB In their bestselling MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors' use of practical applications and excellent exercises helps students discover the nature of statistics and understand its essential role in scientific research. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Filename: introduction-to-linear-regression-analysis.pdf
ISBN: 9781119180173
Release Date: 2015-06-29
Number of pages: 672
Author: Douglas C. Montgomery
Publisher: John Wiley & Sons

Download and read online Introduction to Linear Regression Analysis in PDF and EPUB Praise for the Fourth Edition "As with previous editions, the authors have produced a leading textbook on regression." —Journal of the American Statistical Association A comprehensive and up-to-date introduction to the fundamentals of regression analysis Introduction to Linear Regression Analysis, Fifth Edition continues to present both the conventional and less common uses of linear regression in today’s cutting-edge scientific research. The authors blend both theory and application to equip readers with an understanding of the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences. Following a general introduction to regression modeling, including typical applications, a host of technical tools are outlined such as basic inference procedures, introductory aspects of model adequacy checking, and polynomial regression models and their variations. The book then discusses how transformations and weighted least squares can be used to resolve problems of model inadequacy and also how to deal with influential observations. The Fifth Edition features numerous newly added topics, including: A chapter on regression analysis of time series data that presents the Durbin-Watson test and other techniques for detecting autocorrelation as well as parameter estimation in time series regression models Regression models with random effects in addition to a discussion on subsampling and the importance of the mixed model Tests on individual regression coefficients and subsets of coefficients Examples of current uses of simple linear regression models and the use of multiple regression models for understanding patient satisfaction data. In addition to Minitab, SAS, and S-PLUS, the authors have incorporated JMP and the freely available R software to illustrate the discussed techniques and procedures in this new edition. Numerous exercises have been added throughout, allowing readers to test their understanding of the material. Introduction to Linear Regression Analysis, Fifth Edition is an excellent book for statistics and engineering courses on regression at the upper-undergraduate and graduate levels. The book also serves as a valuable, robust resource for professionals in the fields of engineering, life and biological sciences, and the social sciences.

Filename: an-introduction-to-cryptography.pdf
ISBN: 1584881275
Release Date: 2000-08-10
Number of pages: 392
Author: Richard A. Mollin
Publisher: CRC Press

Download and read online An Introduction to Cryptography in PDF and EPUB INTRODUCTION FOR THE UNINITIATED Heretofore, there has been no suitable introductory book that provides a solid mathematical treatment of cryptography for students with little or no background in number theory. By presenting the necessary mathematics as needed, An Introduction to Cryptography superbly fills that void. Although it is intended for the undergraduate student needing an introduction to the subject of cryptography, it contains enough optional, advanced material to challenge even the most informed reader, and provides the basis for a second course on the subject. Beginning with an overview of the history of cryptography, the material covers the basics of computer arithmetic and explores complexity issues. The author then presents three comprehensive chapters on symmetric-key cryptosystems, public-key cryptosystems, and primality testing. There is an optional chapter on four factoring methods: Pollard's p-1 method, the continued fraction algorithm, the quadratic sieve, and the number field sieve. Another optional chapter contains detailed development of elliptic curve cryptosystems, zero-knowledge, and quantum cryptography. He illustrates all methods with worked examples and includes a full, but uncluttered description of the numerous cryptographic applications. SUSTAINS INTEREST WITH ENGAGING MATERIAL Throughout the book, the author gives a human face to cryptography by including more than 50 biographies of the individuals who helped develop cryptographic concepts. He includes a number of illustrative and motivating examples, as well as optional topics that go beyond the basics presented in the core data. With an extensive index and a list of symbols for easy reference, An Introduction to Cryptography is the essential fundamental text on cryptography.

Filename: statistics-and-data-analysis-for-financial-engineering.pdf
ISBN: 9781493926145
Release Date: 2015-04-21
Number of pages: 719
Author: David Ruppert
Publisher: Springer

Download and read online Statistics and Data Analysis for Financial Engineering in PDF and EPUB The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.

Filename: modern-digital-signal-processing.pdf
ISBN: 0534400957
Release Date: 2004
Number of pages: 380
Author: Roberto Cristi
Publisher: Cl-Engineering

Download and read online Modern Digital Signal Processing in PDF and EPUB Roberto Cristi conveys the excitement of the Digital Signal Processing field in which students can experiment with sounds, images, and video. Using a wealth of applications, the book covers Digital Signal Processing material well suited to today's diverse student population. The author presents the material in a logical sequence so that students can appreciate how concepts develop. The book can be effectively used in a university classroom or as a base for self-study.s

Filename: statistics-the-exploration-analysis-of-data.pdf
ISBN: 9780840058010
Release Date: 2011-01-01
Number of pages: 816
Author: Roxy Peck
Publisher: Cengage Learning

Download and read online Statistics The Exploration Analysis of Data in PDF and EPUB Roxy Peck and Jay Devore’s STATISTICS: THE EXPLORATION AND ANALYSIS OF DATA, 7th 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 the 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. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Filename: an-introduction-to-mathematical-statistics-and-its-applications.pdf
ISBN: 0321694023
Release Date: 2011-02-25
Number of pages: 117
Author: Richard J. Larsen
Publisher: Pearson College Division

Download and read online An Introduction to Mathematical Statistics and Its Applications in PDF and EPUB This manual contains completely worked-out solutions for all the odd-numbered exercises in the text.

Filename: the-statistical-sleuth-a-course-in-methods-of-data-analysis.pdf
ISBN: 9781133490678
Release Date: 2012-05-02
Number of pages: 784
Author: Fred Ramsey
Publisher: Cengage Learning

Download and read online The Statistical Sleuth A Course in Methods of Data Analysis in PDF and EPUB THE STATISTICAL SLEUTH: A COURSE IN METHODS OF DATA ANALYSIS, Third Edition offers an appealing treatment of general statistical methods that takes full advantage of the computer, both as a computational and an analytical tool. The material is independent of any specific software package, and prominently treats modeling and interpretation in a way that goes beyond routine patterns. The book focuses on a serious analysis of real case studies, strategies and tools of modern statistical data analysis, the interplay of statistics and scientific learning, and the communication of results. With interesting examples, real data, and a variety of exercise types (conceptual, computational, and data problems), the authors get students excited about statistics. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Filename: discrete-mathematics-with-applications.pdf
ISBN: 9780495391326
Release Date: 2010-08-04
Number of pages: 984
Author: Susanna Epp
Publisher: Cengage Learning

Download and read online Discrete Mathematics with Applications in PDF and EPUB Susanna Epp’s DISCRETE MATHEMATICS WITH APPLICATIONS, FOURTH EDITION provides a clear introduction to discrete mathematics. Renowned for her lucid, accessible prose, Epp explains complex, abstract concepts with clarity and precision. This book presents not only the major themes of discrete mathematics, but also the reasoning that underlies mathematical thought. Students develop the ability to think abstractly as they study the ideas of logic and proof. While learning about such concepts as logic circuits and computer addition, algorithm analysis, recursive thinking, computability, automata, cryptography, and combinatorics, students discover that the ideas of discrete mathematics underlie and are essential to the science and technology of the computer age. Overall, Epp’s emphasis on reasoning provides students with a strong foundation for computer science and upper-level mathematics courses. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Filename: introduction-to-fluid-mechanics.pdf
ISBN: 0471124648
Release Date: 1998-11-03
Number of pages: 776
Author: Robert W. Fox
Publisher: Wiley

Download and read online Introduction to Fluid Mechanics in PDF and EPUB Fox & McDonald offers a balanced approach designed to facilitate student learning by self-discovery and problem solving. The book features clear writing, detailed example problems to illustrate applications of the principles presented, and copious end-of-chapter exercises to promote self-study and comprehension by students. The text has been thoroughly tested in the classroom, and has been improved continuously through each edition. The content is divided nearly equally among text, example problems, and end-of-chapter problems making the text exceptionally easy to use.