Nonparametric Statistical Methods, Solutions Manual

Author: Myles Hollander,Douglas A. Wolfe

Publisher: Wiley-Interscience

ISBN: 9780471329862

Category: Mathematics

Page: 162

View: 5379

The importance of nonparametric methods in modern statistics has grown dramatically since their inception in the mid-1930s. Requiring few or no assumptions about the populations from which data are obtained, they have emerged as the preferred methodology among statisticians and researchers performing data analysis. Today, these highly efficient techniques are being applied to an ever-widening variety of experimental designs in the social, behavioral, biological, and physical sciences. This long-awaited Second Edition of Myles Hollander and Douglas A. Wolfe's successful Nonparametric Statistical Methods meets the needs of a new generation of users, with completely up-to-date coverage of this important statistical area. Like its highly acclaimed predecessor, the revised edition, along with its companion ftp site, aims to equip students with the conceptual and technical skills necessary to select and apply the appropriate procedures for a given situation. An extensive array of examples drawn from actual experiments illustrates clearly how to use nonparametric approaches to handle one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. Rewritten and updated, this Second Edition now includes new or expanded coverage of: * Nonparametric regression methods. * The bootstrap. * Contingency tables and the odds ratio. * Life distributions and survival analysis. * Nonparametric methods for experimental designs. * More procedures, real-world data sets, and problems. * Illustrated examples using Minitab and StatXact. An ideal text for an upper-level undergraduate or first-year graduate course, this text is also an invaluable source for professionals who want to keep abreast of the latest developments within this dynamic branch of modern statistics. An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley editorial department.

Nonparametric Statistical Methods

Author: Myles Hollander,Douglas A. Wolfe

Publisher: Wiley-Interscience

ISBN: N.A

Category: Mathematics

Page: 787

View: 6953

Nonparametric statistical methods have emerged as the preferred methodology for statisticians and other scientists doing data analysis. This edition offers many improvements, including expanded coverage of nonparametric methods for experimental designs.

Regression

Modelle, Methoden und Anwendungen

Author: Ludwig Fahrmeir,Thomas Kneib,Stefan Lang

Publisher: Springer-Verlag

ISBN: 3642018378

Category: Business & Economics

Page: 502

View: 4557

In dem Band beschreiben die Autoren erstmals klassische Regressionsansätze und moderne nicht- und semiparametrische Methoden in einer integrierten und anwendungsorientierten Form. Um Lesern die Analyse eigener Fragestellungen zu ermöglichen, demonstrieren sie die praktische Anwendung der Konzepte und Methoden anhand ausführlicher Fallstudien. Geeignet für Studierende der Statistik sowie für Wissenschaftler und Praktiker, zum Beispiel in den Wirtschafts- und Sozialwissenschaften, der Bioinformatik und -statistik, Ökonometrie und Epidemiologie.

Nonparametric Statistical Inference

Author: Jean Dickinson Gibbons,Subhabrata Chakraborti

Publisher: CRC Press

ISBN: 0824755227

Category: Mathematics

Page: 680

View: 2073

Thoroughly revised and reorganized, the fourth edition presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis and offers example applications appropriate for all areas of the social, behavioral, and life sciences. The book presents new material on the quantiles, the calculation of exact and simulated power, multiple comparisons, additional goodness-of-fit tests, methods of analysis of count data, and modern computer applications using MINITAB, SAS, and STATXACT. It includes tabular guides for simplified applications of tests and finding P values and confidence interval estimates.

Student Solutions Manual for Hayter's Probability and Statistics for Engineers and Scientists, 4th

Author: Anthony J. Hayter

Publisher: Cengage Learning

ISBN: 1133111319

Category: Mathematics

Page: 208

View: 2868

Go beyond the answers--see what it takes to get there and improve your grade! This manual provides worked-out, step-by-step solutions to the odd-numbered problems in the text, giving you the information you need to truly understand how these problems are solved. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Student Solutions Manual for Johnson/Kuby's Elementary Statistics, 11th

Author: Robert R. Johnson,Patricia J. Kuby

Publisher: Cengage Learning

ISBN: 1337015520

Category: Mathematics

Page: 608

View: 8944

Want to make sure your answers are correct and that you took the correct steps to arrive at them? This manual, which contains fully worked-out solutions to all of the odd-numbered exercises in the text, helps you do just that. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Lineare Algebra

Einführung, Grundlagen, Übungen

Author: Howard Anton

Publisher: Springer Verlag

ISBN: 9783827403247

Category: Mathematics

Page: 680

View: 921

In Ihrer Hand liegt ein Lehrbuch - in sieben englischsprachigen Ausgaben praktisch erprobt - das Sie mit groem didaktischen Geschick, zudem angereichert mit zahlreichen Ubungsaufgaben, in die Grundlagen der linearen Algebra einfuhrt. Kenntnisse der Analysis werden fur das Verstandnis nicht generell vorausgesetzt, sind jedoch fur einige besonders gekennzeichnete Beispiele notig. Padagogisch erfahren, behandelt der Autor grundlegende Beweise im laufenden Text; fur den interessierten Leser jedoch unverzichtbare Beweise finden sich am Ende der entsprechenden Kapitel. Ein weiterer Vorzug des Buches: Die Darstellung der Zusammenhange zwischen den einzelnen Stoffgebieten - linearen Gleichungssystemen, Matrizen, Determinanten, Vektoren, linearen Transformationen und Eigenwerten.

Student Solutions Manual to Accompany Loss Models: From Data to Decisions, Fourth Edition

Author: Stuart A. Klugman,Harry H. Panjer,Gordon E. Willmot

Publisher: John Wiley & Sons

ISBN: 1118472020

Category: Business & Economics

Page: 252

View: 8337

Student Solutions Manual to Accompany Loss Models: From Data to Decisions, Fourth Edition. This volume is organised around the principle that much of actuarial science consists of the construction and analysis of mathematical models which describe the process by which funds flow into and out of an insurance system.

Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists

Author: Bhisham C. Gupta,Irwin Guttman

Publisher: John Wiley & Sons

ISBN: 1118789768

Category: Mathematics

Page: 376

View: 2895

A solutions manual to accompany Statistics andProbability with Applications for Engineersand Scientists Unique among books of this kind, Statistics and Probabilitywith Applications for Engineers and Scientists coversdescriptive statistics first, then goes on to discuss thefundamentals of probability theory. Along with case studies,examples, and real-world data sets, the book incorporates clearinstructions on how to use the statistical packages Minitab®and Microsoft® Office Excel® to analyze various datasets. The book also features: Detailed discussions on sampling distributions, statisticalestimation of population parameters, hypothesis testing,reliability theory, statistical quality control including Phase Iand Phase II control charts, and process capability indices A clear presentation of nonparametric methods and simple andmultiple linear regression methods, as well as a brief discussionon logistic regression method Comprehensive guidance on the design of experiments, includingrandomized block designs, one- and two-way layout designs, Latinsquare designs, random effects and mixed effects models, factorialand fractional factorial designs, and response surfacemethodology A companion website containing data sets for Minitab andMicrosoft Office Excel, as well as JMP ® routines andresults Assuming no background in probability andstatistics, Statistics and Probability with Applicationsfor Engineers and Scientists features a unique, yettried-and-true, approach that is ideal for all undergraduatestudents as well as statistical practitioners who analyze andillustrate real-world data in engineering and the naturalsciences.

Statistik-Workshop für Programmierer

Author: Allen B. Downey

Publisher: O'Reilly Germany

ISBN: 3868993436

Category: Computers

Page: 160

View: 7330

Wenn Sie programmieren können, beherrschen Sie bereits Techniken, um aus Daten Wissen zu extrahieren. Diese kompakte Einführung in die Statistik zeigt Ihnen, wie Sie rechnergestützt, anstatt auf mathematischem Weg Datenanalysen mit Python durchführen können. Praktischer Programmier-Workshop statt grauer Theorie: Das Buch führt Sie anhand eines durchgängigen Fallbeispiels durch eine vollständige Datenanalyse -- von der Datensammlung über die Berechnung statistischer Kennwerte und Identifikation von Mustern bis hin zum Testen statistischer Hypothesen. Gleichzeitig werden Sie mit statistischen Verteilungen, den Regeln der Wahrscheinlichkeitsrechnung, Visualisierungsmöglichkeiten und vielen anderen Arbeitstechniken und Konzepten vertraut gemacht. Statistik-Konzepte zum Ausprobieren: Entwickeln Sie über das Schreiben und Testen von Code ein Verständnis für die Grundlagen von Wahrscheinlichkeitsrechnung und Statistik: Überprüfen Sie das Verhalten statistischer Merkmale durch Zufallsexperimente, zum Beispiel indem Sie Stichproben aus unterschiedlichen Verteilungen ziehen. Nutzen Sie Simulationen, um Konzepte zu verstehen, die auf mathematischem Weg nur schwer zugänglich sind. Lernen Sie etwas über Themen, die in Einführungen üblicherweise nicht vermittelt werden, beispielsweise über die Bayessche Schätzung. Nutzen Sie Python zur Bereinigung und Aufbereitung von Rohdaten aus nahezu beliebigen Quellen. Beantworten Sie mit den Mitteln der Inferenzstatistik Fragestellungen zu realen Daten.

Einführung in die Statistik der Finanzmärkte

Author: Jürgen Franke,Wolfgang Karl Härdle,Christian Matthias Hafner

Publisher: Springer-Verlag

ISBN: 3642170498

Category: Business & Economics

Page: 428

View: 3955

Business Statistics: Problems & Solutions

Author: J.K. Sharma

Publisher: Vikas Publishing House

ISBN: 932597617X

Category: Business & Economics

Page: N.A

View: 5257

Precise and to the point, this book elucidates the key concepts and methods of business statistics. It aims to supplement textbooks on business statistics and upgrade student's knowledge and skill in the subject and also helps them understand applications of statistical methods in real-life problems. This book meets the requirement of students pursuing BBA, B.Com. (Hons), MBA, M.Com. etc. Key Features • Complete conformity to the latest trend of questions appearing in universities and professional examination. • Variety of solved examples to provide integrated view of theory and applications of statistical methods. • Chapters include: more than 500 solved problems & more than 450 unsolved questions for practice • Answers and sufficient hints to unsolved problems to enable students learn at their own pace.

Statistics : student solutions manual

Author: Nancy S. Boudreau,James T. McClave,Terry Sincich

Publisher: N.A

ISBN: 9780130660688

Category: Statistics

Page: 379

View: 9387

Student Solutions Manual, Mathematical Statistics with Applications

Student Solutions Manual

Author: K.M. Ramachandran,Chris P. Tsokos

Publisher: Academic Press

ISBN: 0080964435

Category: Science

Page: 148

View: 2470

Mathematical Statistics with Applications provides a calculus-based theoretical introduction to mathematical statistics while emphasizing interdisciplinary applications as well as exposure to modern statistical computational and simulation concepts that are not covered in other textbooks. Includes the Jackknife, Bootstrap methods, the EM algorithms and Markov chain Monte Carlo methods. Prior probability or statistics knowledge is not required. Step-by-step procedure to solve real problems, making the topic more accessible Exercises blend theory and modern applications Practical, real-world chapter projects Provides an optional section in each chapter on using Minitab, SPSS and SAS commands

Elementare Wahrscheinlichkeitstheorie und stochastische Prozesse

Author: Kai L. Chung

Publisher: Springer-Verlag

ISBN: 3642670334

Category: Mathematics

Page: 346

View: 1376

Aus den Besprechungen: "Unter den zahlreichen Einführungen in die Wahrscheinlichkeitsrechnung bildet dieses Buch eine erfreuliche Ausnahme. Der Stil einer lebendigen Vorlesung ist über Niederschrift und Übersetzung hinweg erhalten geblieben. In jedes Kapitel wird sehr anschaulich eingeführt. Sinn und Nützlichkeit der mathematischen Formulierungen werden den Lesern nahegebracht. Die wichtigsten Zusammenhänge sind als mathematische Sätze klar formuliert." #FREQUENZ#1