Author: Richard J. Larsen,Morris L. Marx

Publisher: Pearson College Division

ISBN: 9780139223037

Category: Mathematics

Page: 790

View: 9583

Using high-quality, real-world case studies and examples, this introduction to mathematical statistics shows how to use statistical methods and when to use them. This book can be used as a brief introduction to design of experiments. This successful, calculus-based book of probability and statistics, was one of the first to make real-world applications an integral part of motivating discussion. The number of problem sets has increased in all sections. Some sections include almost 50% new problems, while the most popular case studies remain. For anyone needing to develop proficiency with Mathematical Statistics.
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Author: Jay L. Devore,Kenneth N. Berk

Publisher: Cengage Learning

ISBN: 0534404731

Category: Mathematics

Page: 848

View: 2052

CD-ROM contains datasets formatted for MINITAB, SAS, SPSS, JMP, Microsoft Excel, and ASCII, as well as MINITAB macros for doing bootstrapping and permutation tests.
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Author: Robert J. Serfling

Publisher: John Wiley & Sons

ISBN: 0470317191

Category: Mathematics

Page: 392

View: 8247

Approximation Theorems of Mathematical Statistics This convenient paperback edition makes a seminal text in statistics accessible to a new generation of students and practitioners. Approximation Theorems of Mathematical Statistics covers a broad range of limit theorems useful in mathematical statistics, along with methods of proof and techniques of application. The manipulation of "probability" theorems to obtain "statistical" theorems is emphasized. Besides a knowledge of these basic statistical theorems, this lucid introduction to the subject imparts an appreciation of the instrumental role of probability theory. The book makes accessible to students and practicing professionals in statistics, general mathematics, operations research, and engineering the essentials of: * The tools and foundations that are basic to asymptotic theory in statistics * The asymptotics of statistics computed from a sample, including transformations of vectors of more basic statistics, with emphasis on asymptotic distribution theory and strong convergence * Important special classes of statistics, such as maximum likelihood estimates and other asymptotic efficient procedures; W. Hoeffding's U-statistics and R. von Mises's "differentiable statistical functions" * Statistics obtained as solutions of equations ("M-estimates"), linear functions of order statistics ("L-statistics"), and rank statistics ("R-statistics") * Use of influence curves * Approaches toward asymptotic relative efficiency of statistical test procedures
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Author: Asha Seth Kapadia,Wenyaw Chan,Lemuel A. Moyé

Publisher: CRC Press

ISBN: 9780824754006

Category: Mathematics

Page: 648

View: 8466

Mathematical statistics typically represents one of the most difficult challenges in statistics, particularly for those with more applied, rather than mathematical, interests and backgrounds. Most textbooks on the subject provide little or no review of the advanced calculus topics upon which much of mathematical statistics relies and furthermore contain material that is wholly theoretical, thus presenting even greater challenges to those interested in applying advanced statistics to a specific area. Mathematical Statistics with Applications presents the background concepts and builds the technical sophistication needed to move on to more advanced studies in multivariate analysis, decision theory, stochastic processes, or computational statistics. Applications embedded within theoretical discussions clearly demonstrate the utility of the theory in a useful and relevant field of application and allow readers to avoid sudden exposure to purely theoretical materials. With its clear explanations and more than usual emphasis on applications and computation, this text reaches out to the many students and professionals more interested in the practical use of statistics to enrich their work in areas such as communications, computer science, economics, astronomy, and public health.
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Author: Robert Hafner

Publisher: Springer-Verlag

ISBN: 3709169445

Category: Mathematics

Page: 512

View: 7343

Das Buch ist eine Einführung in die Wahrscheinlichkeitsrechnung und mathematische Statistik auf mittlerem mathematischen Niveau. Die Pädagogik der Darstellung unterscheidet sich in wesentlichen Teilen – Einführung der Modelle für unabhängige und abhängige Experimente, Darstellung des Suffizienzbegriffes, Ausführung des Zusammenhanges zwischen Testtheorie und Theorie der Bereichschätzung, allgemeine Diskussion der Modellentwicklung – erheblich von der anderer vergleichbarer Lehrbücher. Die Darstellung ist, soweit auf diesem Niveau möglich, mathematisch exakt, verzichtet aber bewußt und ebenfalls im Gegensatz zu vergleichbaren Texten auf die Erörterung von Meßbarkeitsfragen. Der Leser wird dadurch erheblich entlastet, ohne daß wesentliche Substanz verlorengeht. Das Buch will allen, die an der Anwendung der Statistik auf solider Grundlage interessiert sind, eine Einführung bieten, und richtet sich an Studierende und Dozenten aller Studienrichtungen, für die mathematische Statistik ein Werkzeug ist.
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Author: Deborah Rumsey

Publisher: John Wiley & Sons

ISBN: 3527705945

Category: Mathematics

Page: 352

View: 2049

Entdecken Sie mit "Statistik für Dummies" Ihren Spaß an der Statistik und werfen Sie einen Blick hinter die Kulissen der so beliebten Manipulation von Zahlenmaterial! Deborah Rumsey zeigt Ihnen das nötige statistische Handwerkszeug wie Stichprobe, Wahrscheinlichkeit, Bias, Median, Durchschnitt und Korrelation. Sie lernen die verschiedenen grafischen Darstellungsmöglichkeiten von statistischem Material kennen und werden über die unterschiedlichen Methoden der Auswertung erstaunt sein. Schärfen Sie mit diesem Buch Ihr Bewusstsein für Zahlen und deren Interpretation, so dass Ihnen keiner mehr etwas vormachen kann!
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Author: Kandethody M. Ramachandran,Chris P. Tsokos

Publisher: Academic Press

ISBN: 9780080951706

Category: Mathematics

Page: 848

View: 7404

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
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Author: Dennis Wackerly,William Mendenhall,Richard L. Scheaffer

Publisher: Cengage Learning

ISBN: 1111798788

Category: Mathematics

Page: 944

View: 6617

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.
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Author: Allen B. Downey

Publisher: O'Reilly Germany

ISBN: 3868993436

Category: Computers

Page: 160

View: 8090

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.
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From Laplace to More Recent Times

Author: Prakash Gorroochurn

Publisher: John Wiley & Sons

ISBN: 1119127947

Category: Mathematics

Page: 776

View: 4786

"There is nothing like it on the market...no others are as encyclopedic...the writing is exemplary: simple, direct, and competent." —George W. Cobb, Professor Emeritus of Mathematics and Statistics, Mount Holyoke College Written in a direct and clear manner, Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times presents a comprehensive guide to the history of mathematical statistics and details the major results and crucial developments over a 200-year period. Presented in chronological order, the book features an account of the classical and modern works that are essential to understanding the applications of mathematical statistics. Divided into three parts, the book begins with extensive coverage of the probabilistic works of Laplace, who laid much of the foundations of later developments in statistical theory. Subsequently, the second part introduces 20th century statistical developments including work from Karl Pearson, Student, Fisher, and Neyman. Lastly, the author addresses post-Fisherian developments. Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times also features: A detailed account of Galton's discovery of regression and correlation as well as the subsequent development of Karl Pearson's X2 and Student's t A comprehensive treatment of the permeating influence of Fisher in all aspects of modern statistics beginning with his work in 1912 Significant coverage of Neyman–Pearson theory, which includes a discussion of the differences to Fisher’s works Discussions on key historical developments as well as the various disagreements, contrasting information, and alternative theories in the history of modern mathematical statistics in an effort to provide a thorough historical treatment Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times is an excellent reference for academicians with a mathematical background who are teaching or studying the history or philosophical controversies of mathematics and statistics. The book is also a useful guide for readers with a general interest in statistical inference.
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Author: Wayne W. Daniel

Publisher: Houghton Mifflin Harcourt (HMH)

ISBN: N.A

Category: Mathematics

Page: 475

View: 9993

Descriptive statistics; Probability; Probability distributions; Sampling distributions; Estimating population parameters; Testing hypotheses about population parameters; Experimental design; Analysis of variance; Simple linear regression and correlation analysis; Some uses of chi-square; Nonparametric statistics.
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Proceedings, Sixth International Conference, Wisła (Poland), 1978

Author: W. Klonecki,A. Kozek,J. Rosinski

Publisher: Springer Science & Business Media

ISBN: 1461573971

Category: Mathematics

Page: 373

View: 2482

Since 1972 the Institute of Mathematics and the Committee of Mathematics of the Polish Academy of Sciences organize annually con ferences on mathematical statistics in Wisla. The 1978 conference, supported also by the University of Wroclaw,was held in Wisla from December 7 to December 13 and attended by around 100 participants from 11 countries. K. Urbanik, Rector of the University of Wroclaw, was the honorary chairman of the conference. Traditionally at these conferences there are presented results on mathematical statistics and related fields obtained in Poland during the year of the conference as well as results presented by invited scholars from other countries. In 1978 invitations to present talks were accepted by 20 e~inent statisticians and probabilists. The topics of the invited lectures and contributed papers included theoretical statistics with a broad cover of the theory of linear models, inferences from stochastic processes, probability theory and applications to biology and medicine. In these notes there appear papers submitted by 30 participants of the conference. During the conference, on December 9, there was held a special session of the Polish Mathematical Society on the occasion of elect ing Professor Jerzy Neyman the honorary member of the Polish Mathematical Society. At this session W. Orlicz, president of the Polish Mathematical Society, K.Krickeberg,president of the Bernoulli Society. R. Bartoszynski and K. Doksum gave talks on Neyman IS con tribution to statistics, his organizational achievements in the U.S.
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Author: Cuthbert Daniel

Publisher: John Wiley & Sons

ISBN: 9780471194699

Category: Mathematics

Page: 294

View: 7167

Simple comparison experiments; Two factors, each at two levels; Two factors, each at three levels; Unreplicated three-factor, two level experiments; Unreplicated four-factor, two-level experiments; Three five-factor, two-level unreplicated experiments; Larger two-way layouts; The size of industrial experiments; Blocking factorial experiments; Fractional replication - elementary; Fractional replication - intermediate; Incomplete factorials; Sequences of fractional replicates; Trend-robust plants; Nested designs.
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Warum der Weg oft glücklicher macht als das Ziel

Author: Chris Guillebeau

Publisher: books4success

ISBN: 3864702674

Category: Self-Help

Page: 320

View: 8164

Und jedem Streben wohnt ein Glück inne ... Zu Fuß quer durch die USA wandern oder so viele Vogelarten wie möglich beobachten - das sind nur zwei Beispiele für ungewöhnliche Herausforderungen, denen sich ganz gewöhnliche Menschen gestellt haben. Chris Guillebeau beschreibt, wie das Streben nach selbst gesteckten Zielen Sinn und Glück in das eigene Leben bringt. Chris Guillebeau hat sein Projekt, alle Länder dieser Erde zu bereisen, umgesetzt. Und er hat erkannt: Nicht das Ziel an sich ist am wichtigsten, sondern der Weg dorthin. Nach etwas streben, planen, äußere und innere Hürden überwinden - all dies macht uns oft glücklicher und lässt uns innerlich mehr wachsen als das Erreichen des Ziels selbst. Zahlreiche inspirierende Beispiele sowie praktische Ratschläge weisen dem Leser den Weg: So findet er seine ganz persönliche Herausforderung, so geht er sie an und verleiht damit seinem Leben mehr Bedeutung.
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Author: A. Kolomogoroff

Publisher: Springer-Verlag

ISBN: 3642498884

Category: Mathematics

Page: 62

View: 1562

Dieser Buchtitel ist Teil des Digitalisierungsprojekts Springer Book Archives mit Publikationen, die seit den Anfängen des Verlags von 1842 erschienen sind. Der Verlag stellt mit diesem Archiv Quellen für die historische wie auch die disziplingeschichtliche Forschung zur Verfügung, die jeweils im historischen Kontext betrachtet werden müssen. Dieser Titel erschien in der Zeit vor 1945 und wird daher in seiner zeittypischen politisch-ideologischen Ausrichtung vom Verlag nicht beworben.
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Proceedings of the Seventh Vilnius Conference (1998), Vilnius, Lithuania, 12-18 August, 1998

Author: Bronius Grigelionis,Jonas Kubilius,V. Paulauskas,V. Statulevicius,H. Pragarauskas

Publisher: VSP

ISBN: 9789067643139

Category: Mathematics

Page: 740

View: 4660

The 7th Vilnius Conference on Probability Theory and Mathematical Statistics was held together with the 22nd European Meeting of Statisticians, 12--18 August 1998. This Proceedings volume contains invited lectures as well as some selected contributed papers. Topics included in the conference are: general inference; time series; statistics and probability in the life sciences; statistics and probability in natural and social science; applied probability; probability.
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