Applied Linear Regression Models Revised Edition with Student CD-ROM


Author: Michael H Kutner, PH.D.,Nachtsheim,Neter
Publisher: McGraw-Hill Europe
ISBN: 9780071115193
Category:
Page: 701
View: 5460
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Applied Linear Statistical Models


Author: Michael H. Kutner
Publisher: McGraw-Hill Education
ISBN: 9780071122214
Category: Analysis of variance
Page: 1396
View: 7797
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Applied Linear Statistical Models 5e is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.

Applied Linear Regression


Author: Sanford Weisberg
Publisher: John Wiley & Sons
ISBN: 1118625951
Category: Mathematics
Page: N.A
View: 4151
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Applied Linear Regression Models, International Revised Edition with Student CD-ROM


Author: Michael H. Kutner,Chris Nachtsheim,John Neter
Publisher: N.A
ISBN: 9780071274807
Category: Regression analysis
Page: 701
View: 8865
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Kutner, Nachtsheim, Neter, Wasserman, Applied Linear Regression Models, 4/e (ALRM4e) is the long established leading authoritative text and reference on regression (previously Neter was lead author.) For students in most any discipline where statistical analysis or interpretation is used, ALRM has served as the industry standard. The text includes brief introductory and review material, and then proceeds through regression and modeling. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Comments" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in any discipline. ALRM 4e provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor.

Analysis of Failure and Survival Data


Author: Peter J. Smith
Publisher: CRC Press
ISBN: 1351989677
Category: Mathematics
Page: 266
View: 4975
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Analysis of Failure and Survival Data is an essential textbook for graduate-level students of survival analysis and reliability and a valuable reference for practitioners. It focuses on the many techniques that appear in popular software packages, including plotting product-limit survival curves, hazard plots, and probability plots in the context of censored data. The author integrates S-Plus and Minitab output throughout the text, along with a variety of real data sets so readers can see how the theory and methods are applied. He also incorporates exercises in each chapter that provide valuable problem-solving experience. In addition to all of this, the book also brings to light the most recent linear regression techniques. Most importantly, it includes a definitive account of the Buckley-James method for censored linear regression, found to be the best performing method when a Cox proportional hazards method is not appropriate. Applying the theories of survival analysis and reliability requires more background and experience than students typically receive at the undergraduate level. Mastering the contents of this book will help prepare students to begin performing research in survival analysis and reliability and provide seasoned practitioners with a deeper understanding of the field.

Introduction to Statistical Analysis of Laboratory Data


Author: Alfred Bartolucci,Karan P. Singh,Sejong Bae
Publisher: John Wiley & Sons
ISBN: 1118736834
Category: Mathematics
Page: 256
View: 2815
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Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis Provides detailed discussions on statistical applications including a comprehensive package of statistical tools that are specific to the laboratory experiment process Introduces terminology used in many applications such as the interpretation of assay design and validation as well as “fit for purpose” procedures including real world examples Includes a rigorous review of statistical quality control procedures in laboratory methodologies and influences on capabilities Presents methodologies used in the areas such as method comparison procedures, limit and bias detection, outlier analysis and detecting sources of variation Analysis of robustness and ruggedness including multivariate influences on response are introduced to account for controllable/uncontrollable laboratory conditions

Applied Linear Statistical Models


Author: John Neter,William Wasserman
Publisher: N.A
ISBN: 9780071145671
Category:
Page: 1408
View: 8923
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Focusing on applied statistical models, this text has an applied approach with an emphasis on understanding of concepts and exposition by means of examples. Theoretical foundations are provided so that applications of regression analysis can be carried out. There is expanded use of graphics, scatter plot metrics, and 3D rotating plots. Case studies feature throughout the text.

Network and Discrete Location

Models, Algorithms, and Applications
Author: Mark S. Daskin
Publisher: John Wiley & Sons
ISBN: 1118536967
Category: Business & Economics
Page: 536
View: 3711
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Praise for the First Edition This book is refreshing to read since it takes an important topic... and presents it in a clear and concise manner by using examples that include visual presentations of the problem, solution methods, and results along with an explanation of the mathematical and procedural steps required to model the problem and work through to a solution.” —Journal of Classification Thoroughly updated and revised, Network and Discrete Location: Models, Algorithms, and Applications, Second Edition remains the go-to guide on facility location modeling. The book offers a unique introduction to methodological tools for solving location models and provides insight into when each approach is useful and what information can be obtained. The Second Edition focuses on real-world extensions of the basic models used in locating facilities, including production and distribution systems, location-inventory models, and defender-interdictor problems. A unique taxonomy of location problems and models is also presented. Featuring examples using the author’s own software—SITATION, MOD-DIST, and MENU-OKF—as well as Microsoft Office® Excel®, the book provides: • A theoretical and applied perspective on location models and algorithms • An intuitive presentation of the uses and limits of modeling techniques • An introduction to integrated location-inventory modeling and defender-interdictor models for the design of reliable facility location systems • A full range of exercises to equip readers with an understanding of the basic facility location model types Network and Discrete Location: Models, Algorithms, and Applications, Second Edition is an essential resource for practitioners in applied and discrete mathematics, operations research, industrial engineering, and quantitative geography. The book is also a useful textbook for upper-level undergraduate, graduate, and MBA courses.

Production and Operations Analysis

Seventh Edition
Author: Steven Nahmias,Tava Lennon Olsen
Publisher: Waveland Press
ISBN: 1478628243
Category: Technology & Engineering
Page: 820
View: 610
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The Seventh Edition of Production and Operations Analysis builds a solid foundation for beginning students of production and operations management. Continuing a long tradition of excellence, Nahmias and Olsen bring decades of combined experience to craft the most clear and up-to-date resource available. The authors’ thorough updates include incorporation of current technology that improves the effectiveness of production processes, additional qualitative sections, and new material on service operations management and servicization. Bolstered by copious examples and problems, each chapter stands alone, allowing instructors to tailor the material to their specific needs. The text is essential reading for learning how to better analyze and improve on all facets of operations.

Introduction to Probability Simulation and Gibbs Sampling with R


Author: Eric A. Suess,Bruce E. Trumbo
Publisher: Springer Science & Business Media
ISBN: 038740273X
Category: Mathematics
Page: 307
View: 1353
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The first seven chapters use R for probability simulation and computation, including random number generation, numerical and Monte Carlo integration, and finding limiting distributions of Markov Chains with both discrete and continuous states. Applications include coverage probabilities of binomial confidence intervals, estimation of disease prevalence from screening tests, parallel redundancy for improved reliability of systems, and various kinds of genetic modeling. These initial chapters can be used for a non-Bayesian course in the simulation of applied probability models and Markov Chains. Chapters 8 through 10 give a brief introduction to Bayesian estimation and illustrate the use of Gibbs samplers to find posterior distributions and interval estimates, including some examples in which traditional methods do not give satisfactory results. WinBUGS software is introduced with a detailed explanation of its interface and examples of its use for Gibbs sampling for Bayesian estimation. No previous experience using R is required. An appendix introduces R, and complete R code is included for almost all computational examples and problems (along with comments and explanations). Noteworthy features of the book are its intuitive approach, presenting ideas with examples from biostatistics, reliability, and other fields; its large number of figures; and its extraordinarily large number of problems (about a third of the pages), ranging from simple drill to presentation of additional topics. Hints and answers are provided for many of the problems. These features make the book ideal for students of statistics at the senior undergraduate and at the beginning graduate levels.

The Secrets of Facilitation

The SMART Guide to Getting Results with Groups
Author: Michael Wilkinson
Publisher: John Wiley & Sons
ISBN: 1118233301
Category: Business & Economics
Page: 496
View: 1014
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The revised edition of this facilitation classic offers a wealth of targeted techniques for facilitators who seek effective, consistent, and repeatable results. Based on Michael Wilkinson's proven SMART (Structured Meeting And Relating Techniques) approach, The Secrets of Facilitation can help to achieve stellar results when managing, presenting, teaching, planning, and selling, as well as other professional and personal situations. This expanded edition includes new chapters on facilitating virtual meetings, cross-cultural teams, and large groups and conferences. It also provides a series of strategies for engaging teams, additional information about making meetings more productive, and further guidance on preventing dysfunctional behavior. In addition, the book contains a wealth of fresh case studies and an ancillary website with must-have tools and techniques for both the beginner and the seasoned facilitator. Praise for the First Edition of The Secrets of Facilitation "One of the single most powerful processes is the ability to successfully lead a group to an impactful, actionable outcome. In The Secrets of Facilitation, beginning and experienced facilitators alike will find tools to take their results to the next level." —Jim Canfield, chief learning officer, TEC International "This book shares 'The Secrets' that have been the basis of my facilitation practice for over a decade." —Kerri McBride, past chair, International Association of Facilitators "In my career, I've seen many, many facilitators. Michael Wilkinson is the best. 'The Secrets' explain why." —Len Roberts, CEO, RadioShack "We have trained over 100 leaders and business analysts in 'The Secrets.' Great facilitation works." —Peter Scott, executive general manager, MLC–National Australia Bank "At last there is a practical, hands-on guide for anyone who works with groups or teams. This book delivers!" —Ann Herrmann-Nehdi, CEO, Herrmann International, Herrmann Brain Dominance Indicator

Computational Thinking for the Modern Problem Solver


Author: David D. Riley,Kenny A. Hunt
Publisher: CRC Press
ISBN: 1466587792
Category: Mathematics
Page: 405
View: 8954
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Through examples and analogies, Computational Thinking for the Modern Problem Solver introduces computational thinking as part of an introductory computing course and shows how computer science concepts are applicable to other fields. It keeps the material accessible and relevant to noncomputer science majors. With numerous color figures, this classroom-tested book focuses on both foundational computer science concepts and engineering topics. It covers abstraction, algorithms, logic, graph theory, social issues of software, and numeric modeling as well as execution control, problem-solving strategies, testing, and data encoding and organizing. The text also discusses fundamental concepts of programming, including variables and assignment, sequential execution, selection, repetition, control abstraction, data organization, and concurrency. The authors present the algorithms using language-independent notation.

Statistical Techniques in Business and Economics


Author: Douglas Lind
Publisher: McGraw-Hill Higher Education
ISBN: 0077639723
Category: Business & Economics
Page: 864
View: 9927
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Lind/Marchal/Wathen is a perennial market best seller due to its comprehensive coverage of statistical concepts and methods delivered in a student friendly, step-by-step format. The text presents concepts clearly and succinctly with a conversational writing style and illustrates concepts through the liberal use of business-focused examples that are relevant to the current world of a college student. Known as a “student's text,” Lind's supporting pedagogy includes self-reviews, cumulative exercises, and coverage of software applications including Excel, Minitab, and MegaStat for Excel. And now, McGraw-Hill’s adaptive learning component, LearnSmart, provides assignable modules that help students master chapter core concepts and come to class more prepared. In addition, resources within Connect Plus help students solve problems and apply what they’ve learned. Lind’s real-world examples, comprehensive coverage, and superior pedagogy combine with a complete digital solution to help students achieve higher outcomes in the course.

Statistical Inference


Author: George Casella,Roger L. Berger
Publisher: Duxbury Press
ISBN: N.A
Category: Mathematics
Page: 660
View: 8792
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Casella and Berger's new edition builds the theoretical statistics from the first principals of probability theory. Thoroughly and completely, the authors start with the basics of probability and then move on to develop the theory of statistical inference using techniques, definitions, and statistical concepts.

Linear Models in Statistics


Author: Alvin C. Rencher,G. Bruce Schaalje
Publisher: John Wiley & Sons
ISBN: 0470192607
Category: Mathematics
Page: 688
View: 8201
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The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are also addressed. Linear Models in Statistics, Second Edition includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and nonlinear regression. Algebraic, geometrical, frequentist, and Bayesian approaches to both the inference of linear models and the analysis of variance are also illustrated. Through the expansion of relevant material and the inclusion of the latest technological developments in the field, this book provides readers with the theoretical foundation to correctly interpret computer software output as well as effectively use, customize, and understand linear models. This modern Second Edition features: New chapters on Bayesian linear models as well as random and mixed linear models Expanded discussion of two-way models with empty cells Additional sections on the geometry of least squares Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real data sets, and an extensive bibliography. A thorough review of the requisite matrix algebra has been addedfor transitional purposes, and numerous theoretical and applied problems have been incorporated with selected answers provided at the end of the book. A related Web site includes additional data sets and SAS® code for all numerical examples. Linear Model in Statistics, Second Edition is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is also an invaluable reference for researchers who need to gain a better understanding of regression and analysis of variance.

Student Solutions Manual for Applied Linear Regression Models


Author: Michael Kutner,John Neter,Christopher Nachtsheim
Publisher: McGraw-Hill Education
ISBN: 9780072918397
Category: Education
Page: N.A
View: 5087
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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: 8076
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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.

Topics in regression analysis


Author: Arthur Stanley Goldberger
Publisher: N.A
ISBN: N.A
Category: Mathematics
Page: 144
View: 533
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Data Mining: Concepts and Techniques


Author: Jiawei Han,Jian Pei,Micheline Kamber
Publisher: Elsevier
ISBN: 9780123814807
Category: Computers
Page: 744
View: 1135
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Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Physical Chemistry for Engineering and Applied Sciences


Author: Frank R. Foulkes
Publisher: CRC Press
ISBN: 1466518472
Category: Medical
Page: 704
View: 1510
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Physical Chemistry for Engineering and Applied Sciences is the product of over 30 years of teaching first-year Physical Chemistry as part of the Faculty of Applied Science and Engineering at the University of Toronto. Designed to be as rigorous as compatible with a first-year student’s ability to understand, the text presents detailed step-by-step derivations of the equations that permit the student to follow the underlying logic and, of equal importance, to appreciate any simplifying assumptions made or mathematical tricks employed. In addition to the 600 exercises and end-of-chapter problems, the text is rich in worked non-trivial examples, many of which are designed to be inspiring and thought-provoking. Step-by-step derivation of all equations enables the student to smoothly follow the derivation by sight, and can be understood relatively easily by students with moderate skills and backgrounds in mathematics. Clear and accessible, Physical Chemistry for Engineering and Applied Sciences includes: The answers to all of the 112 worked examples, 99 exercises following many of the worked examples, and 496 end-of-chapter problems Topics not normally seen in introductory physical chemistry textbooks (ionic reaction rates, activities and activity coefficients) or not regularly explained in much detail (electrochemistry, chemical kinetics), with an eye on industrial applications Special appendices that provide detailed explanations of basic integration and natural logarithms for students lacking a background in integral calculus An in-depth chapter on electrochemistry, in which activities and activity coefficients are used extensively, as required for accurate calculations