An Introduction to Mathematical Statistics and Its Applications

Author: Richard J. Larsen,Morris L. Marx

Publisher: Pearson College Division

ISBN: 9780139223037

Category: Mathematics

Page: 790

View: 2736

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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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Introduction to Mathematical Statistics and Its Applications: Pearson New International Edition

Author: Richard J. Larsen,Morris L. Marx

Publisher: Pearson Higher Ed

ISBN: 1292036729

Category: Mathematics

Page: 744

View: 3361

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Noted for its integration of real-world data and case studies, this text offers sound coverage of the theoretical aspects of mathematical statistics. The authors demonstrate how and when to use statistical methods, while reinforcing the calculus that students have mastered in previous courses. Throughout theFifth Edition, the authors have added and updated examples and case studies, while also refining existing features that show a clear path from theory to practice.
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Probability and Statistics by Example

Author: Yuri Suhov,Mark Kelbert

Publisher: Cambridge University Press

ISBN: 1107603587

Category: Mathematics

Page: 470

View: 1100

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A valuable resource for students and teachers alike, this second edition contains more than 200 worked examples and exam questions.
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Probability and Statistics by Example: Volume 1, Basic Probability and Statistics

Author: Yuri Suhov,Mark Kelbert

Publisher: Cambridge University Press

ISBN: 1316062201

Category: Mathematics

Page: N.A

View: 9940

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Probability and statistics are as much about intuition and problem solving as they are about theorem proving. Consequently, students can find it very difficult to make a successful transition from lectures to examinations to practice because the problems involved can vary so much in nature. Since the subject is critical in so many applications from insurance to telecommunications to bioinformatics, the authors have collected more than 200 worked examples and examination questions with complete solutions to help students develop a deep understanding of the subject rather than a superficial knowledge of sophisticated theories. With amusing stories and historical asides sprinkled throughout, this enjoyable book will leave students better equipped to solve problems in practice and under exam conditions.
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Mathematical Statistics With Applications

Author: Asha Seth Kapadia,Wenyaw Chan,Lemuel A. Moyé

Publisher: CRC Press

ISBN: 135199204X

Category: Mathematics

Page: 648

View: 7988

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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.
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Mathematical Statistics with Applications

Author: Kandethody M. Ramachandran,Chris P. Tsokos

Publisher: Academic Press

ISBN: 9780080951706

Category: Mathematics

Page: 848

View: 9494

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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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Statistics for Engineering and the Sciences

Author: William Mendenhall,Terry Sincich

Publisher: Prentice Hall

ISBN: N.A

Category: Mathematics

Page: 1060

View: 9215

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This text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences. Inevitably, once these students graduate and are employed, they will be involved in the collection and analysis of data and will be required to think critically about the results. Consequently, they need to acquire knowledge of the basic concepts of data description and statistical inference and familiarity with statistical methods they are required to use on the job.
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