Search Results for "mathematical-statistics-with-applications"

Mathematical Statistics with Applications in R

Mathematical Statistics with Applications in R

  • Author: Kandethody M. Ramachandran,Chris P. Tsokos
  • Publisher: Elsevier
  • ISBN: 012417132X
  • Category: Mathematics
  • Page: 826
  • View: 1276
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Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner. This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students. Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies. 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 Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods

Modern Mathematical Statistics with Applications

Modern Mathematical Statistics with Applications

  • Author: Jay L. Devore,Kenneth N. Berk
  • Publisher: Springer Science & Business Media
  • ISBN: 146140391X
  • Category: Mathematics
  • Page: 845
  • View: 8962
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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.

Mathematical Statistics with Applications

Mathematical Statistics with Applications

  • Author: Dennis Wackerly,William Mendenhall,Richard L. Scheaffer
  • Publisher: Duxbury Press
  • ISBN: 9780495385066
  • Category: Mathematics
  • Page: 176
  • View: 5981
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Prepare for exams and succeed in your mathematics course with this comprehensive solutions manual! Featuring worked out-solutions to the problems in MATHEMATICAL STATISTICS WITH APPLICATIONS, 7th Edition, this manual shows you how to approach and solve problems using the same step-by-step explanations found in your textbook examples.

Mathematical Statistics With Applications

Mathematical Statistics With Applications

  • Author: Asha Seth Kapadia,Wenyaw Chan,Lemuel A. Moyé
  • Publisher: CRC Press
  • ISBN: 135199204X
  • Category: Mathematics
  • Page: 648
  • View: 7872
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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.

Mathematical statistics with applications

Mathematical statistics with applications

  • Author: William Mendenhall,Richard L. Scheaffer
  • Publisher: Brooks/Cole
  • ISBN: N.A
  • Category: Mathematics
  • Page: 561
  • View: 6417
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Student Solutions Manual, Mathematical Statistics with Applications

Student Solutions Manual, Mathematical Statistics with Applications

  • Author: N.A
  • Publisher: Academic Press
  • ISBN: 0123854954
  • Category:
  • Page: N.A
  • View: 9818
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Probability Theory and Mathematical Statistics with Applications

Probability Theory and Mathematical Statistics with Applications

  • Author: Wilfried Grossmann
  • Publisher: Springer Science & Business Media
  • ISBN: 9789027725479
  • Category: Mathematics
  • Page: 456
  • View: 5861
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Proceedings of the 5th Pannonian Symposium, Visegrad, Hungary, May 20-24, 1985

Mathematik für Wirtschaftswissenschaftler

Mathematik für Wirtschaftswissenschaftler

Basiswissen mit Praxisbezug

  • Author: Knut Sydsæter,Peter J. Hammond
  • Publisher: Pearson Deutschland GmbH
  • ISBN: 9783827373571
  • Category: Mathematics
  • Page: 894
  • View: 8909
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Lineare Algebra

Lineare Algebra

Einführung, Grundlagen, Übungen

  • Author: Howard Anton
  • Publisher: Springer Verlag
  • ISBN: 9783827403247
  • Category: Mathematics
  • Page: 680
  • View: 5174
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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.

John E. Freund's Mathematical Statistics with Applications

John E. Freund's Mathematical Statistics with Applications

  • Author: Irwin Miller,Marylees Miller
  • Publisher: Pearson
  • ISBN: 0134291670
  • Category: Mathematics
  • Page: 544
  • View: 727
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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. John E. Freund's Mathematical Statistics with Applications , Eighth Edition, provides a calculus-based introduction to the theory and application of statistics, based on comprehensive coverage that reflects the latest in statistical thinking, the teaching of statistics, and current practices.

Devore/Berk's Modern Mathematical Statistics With Applications

Devore/Berk's Modern Mathematical Statistics With Applications

  • Author: Matthew A. Carlton,Kenneth N. Berk,Jay L. Devore
  • Publisher: Duxbury Press
  • ISBN: 9780534404741
  • Category: Mathematics
  • Page: 252
  • View: 2518
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The Student Solutions Manual provides worked-out solutions to the selected problems in the text.

John E. Freund's Mathematical Statistics with Applications: Pearson New International Edition

John E. Freund's Mathematical Statistics with Applications: Pearson New International Edition

  • Author: Irwin Miller,Marylees Miller
  • Publisher: Pearson Higher Ed
  • ISBN: 1292037636
  • Category: Mathematics
  • Page: 480
  • View: 6525
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John E. Freund's Mathematical Statistics with Applications, Eighth Edition, provides a calculus-based introduction to the theory and application of statistics, based on comprehensive coverage that reflects the latest in statistical thinking, the teaching of statistics, and current practices. This text is appropriate for a two-semester or three-quarter calculus-based course in Introduction to Mathematical Statistics. It can also be used for a single-semester course emphasizing probability, probability distributions and densities, sampling, and classical statistical inference.

Mathematical Statistics with Resampling and R

Mathematical Statistics with Resampling and R

  • Author: Laura M. Chihara,Tim C. Hesterberg
  • Publisher: John Wiley & Sons
  • ISBN: 1119416531
  • Category: Mathematics
  • Page: 560
  • View: 1580
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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.

Wahrscheinlichkeitsrechnung und Statistik

Wahrscheinlichkeitsrechnung und Statistik

  • Author: Robert Hafner
  • Publisher: Springer-Verlag
  • ISBN: 3709169445
  • Category: Mathematics
  • Page: 512
  • View: 7066
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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.

Mathematical Statistics with Resampling and R & Probability with Applications and R Set

Mathematical Statistics with Resampling and R & Probability with Applications and R Set

  • Author: Laura M. Chihara,Tim C. Hesterberg,Robert P. Dobrow
  • Publisher: Wiley
  • ISBN: 9781118947432
  • Category: Mathematics
  • Page: 960
  • View: 522
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This book bridges 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. This groundbreaking book shows how to apply modern resampling techniques to mathematical statistics. Extensively class-tested to ensure an accessible presentation, M"athematical Statistics with Resampling and R" utilizes the powerful and flexible computer language R to underscore the significance and benefits of modern resampling techniques. The book begins by introducing permutation tests and bootstrap methods, motivating classical inference methods. Striking a balance between theory, computing, and applications, the authors explore additional topics such as: Exploratory data analysis Calculation of sampling distributions The Central Limit Theorem Monte Carlo sampling Maximum likelihood estimation and properties of estimators Confidence intervals and hypothesis tests Regression Bayesian methods Throughout the book, case studies on diverse subjects such as flight delays, birth weights of babies, and telephone company repair times illustrate the relevance of the real-world applications of the discussed material. Key definitions and theorems of important probability distributions are collected at the end of the book, and a related website is also available, featuring additional material including data sets, R scripts, and helpful teaching hints. "Mathematical Statistics with Resampling and R" is an excellent book for courses on mathematical statistics at the upper-undergraduate and graduate levels. It also serves as a valuable reference for applied statisticians working in the areas of business, economics, biostatistics, and public health who utilize resampling methods in their everyday work.

Heimsuchungen

Heimsuchungen

Zwölf Erzählungen

  • Author: Chimamanda Ngozi Adichie
  • Publisher: S. Fischer Verlag
  • ISBN: 3104017840
  • Category: Fiction
  • Page: 304
  • View: 1486
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Zwölf Stories der jungen nigerianischen Bestsellerautorin Chimamanda Ngozi Adichie. Nigeria – Nordamerika: Zwei Welten, getrennt durch eine scheinbar unüberwindbare Kluft. Die nigerianische Heimat schwebt zwischen Tradition und Moderne, wird bedroht von Gewalt und Korruption. In Amerika hingegen hält das Leben nicht, was es verspricht. An den Rändern beider Kulturen werden die prekären Bande zwischen Kindern und Eltern, die verborgenen Vibrationen zwischen Männern und Frauen aufgespürt: Die Liebe wird in der Distanz auf die Probe gestellt und das Sich-Wiederfinden ist schwieriger als erwartet. In der Familie schleichen sich Spannungen ein, wenn der Strudel des Lebens ihre Mitglieder mitreißt. Diese sinnlichen und gleichsam klaren Einblicke in die Wirren des nigerianischen, in erster Linie aber des menschlichen Lebens überhaupt, machen diese Geschichten nicht nur zu Erzählungen einer außergewöhnlichen jungen afrikanischen Stimme, sondern zu ganz großer Literatur. »Chimamanda Adichie ist eine neue Autorin, die mit der Gabe der alten Geschichtenerzähler gesegnet ist.« Chinua Achebe

Introduction to Probability with Statistical Applications

Introduction to Probability with Statistical Applications

  • Author: Géza Schay
  • Publisher: Birkhäuser
  • ISBN: 3319306200
  • Category: Mathematics
  • Page: 385
  • View: 6302
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Now in its second edition, this textbook serves as an introduction to probability and statistics for non-mathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of random phenomena, including discrete and continuous random variables, expectation and variance, and common probability distributions such as the binomial, Poisson, and normal distributions. More classical examples such as Montmort's problem, the ballot problem, and Bertrand’s paradox are now included, along with applications such as the Maxwell-Boltzmann and Bose-Einstein distributions in physics. Key features in new edition: * 35 new exercises * Expanded section on the algebra of sets * Expanded chapters on probabilities to include more classical examples * New section on regression * Online instructors' manual containing solutions to all exercises“/p> Advanced undergraduate and graduate students in computer science, engineering, and other natural and social sciences with only a basic background in calculus will benefit from this introductory text balancing theory with applications. Review of the first edition: This textbook is a classical and well-written introduction to probability theory and statistics. ... the book is written ‘for an audience such as computer science students, whose mathematical background is not very strong and who do not need the detail and mathematical depth of similar books written for mathematics or statistics majors.’ ... Each new concept is clearly explained and is followed by many detailed examples. ... numerous examples of calculations are given and proofs are well-detailed." (Sophie Lemaire, Mathematical Reviews, Issue 2008 m)

Asymptotic Methods in Probability and Statistics with Applications

Asymptotic Methods in Probability and Statistics with Applications

  • Author: N. Balakrishnan,I.A.V.B. Ibragimov,V.B. Nevzorov
  • Publisher: Springer Science & Business Media
  • ISBN: 1461202094
  • Category: Business & Economics
  • Page: 549
  • View: 6651
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Traditions of the 150-year-old St. Petersburg School of Probability and Statis tics had been developed by many prominent scientists including P. L. Cheby chev, A. M. Lyapunov, A. A. Markov, S. N. Bernstein, and Yu. V. Linnik. In 1948, the Chair of Probability and Statistics was established at the Department of Mathematics and Mechanics of the St. Petersburg State University with Yu. V. Linik being its founder and also the first Chair. Nowadays, alumni of this Chair are spread around Russia, Lithuania, France, Germany, Sweden, China, the United States, and Canada. The fiftieth anniversary of this Chair was celebrated by an International Conference, which was held in St. Petersburg from June 24-28, 1998. More than 125 probabilists and statisticians from 18 countries (Azerbaijan, Canada, Finland, France, Germany, Hungary, Israel, Italy, Lithuania, The Netherlands, Norway, Poland, Russia, Taiwan, Turkey, Ukraine, Uzbekistan, and the United States) participated in this International Conference in order to discuss the current state and perspectives of Probability and Mathematical Statistics. The conference was organized jointly by St. Petersburg State University, St. Petersburg branch of Mathematical Institute, and the Euler Institute, and was partially sponsored by the Russian Foundation of Basic Researches. The main theme of the Conference was chosen in the tradition of the St.