Mathematical Statistics with Applications in R

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9780124171138: Mathematical Statistics with Applications in R
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"...mathematically rigorous, but takes an applied-student-friendly point of view on the traditional content…highly recommended for use as the primary textbook for an undergraduate mathematical statistics course in a mathematics or statistics department." -- MAA.org

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Mathematical Statistics with Applications, Second Edition gives an up-to-date introduction to the theory of statistics with a wealth of real-world applications that will help students approach statistical problem solving in a logical manner. The book introduces 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. Goodness of fit methods are included to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Engineering students, especially, will find these methods to be very important 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

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Kandethody M. Ramachandran, Chris P. Tsokos
Editorial: Elsevier Science Publishing Co Inc, United States (2014)
ISBN 10: 0124171133 ISBN 13: 9780124171138
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Descripción Elsevier Science Publishing Co Inc, United States, 2014. Hardback. Estado de conservación: New. 2nd Revised edition. 236 x 188 mm. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. Nº de ref. de la librería EOD9780124171138

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Ramachandran, K.M.
ISBN 10: 0124171133 ISBN 13: 9780124171138
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Kandethody M. Ramachandran, Chris P. Tsokos
Editorial: Elsevier Science Publishing Co Inc, United States (2014)
ISBN 10: 0124171133 ISBN 13: 9780124171138
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Descripción Elsevier Science Publishing Co Inc, United States, 2014. Hardback. Estado de conservación: New. 2nd Revised edition. 236 x 188 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AAU9780124171138

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Descripción Estado de conservación: New. New. US edition. Perfect condition. Ship by express service to USA, Canada, Australia, France, Italy, UK, Germany and Netherland. Customer satisfaction our priority. Nº de ref. de la librería ABE-FEB-115906

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Descripción Estado de conservación: New. New. US edition. Perfect condition. Ship by express service to USA, Canada, Australia, France, Italy, UK, Germany and Netherland. Customer satisfaction our priority. Nº de ref. de la librería ABE-FEB-344

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Ramachandran, K.M.
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Kandethody M. Ramachandran, Chris P. Tsokos
Editorial: Elsevier Science Publishing Co Inc, United States (2014)
ISBN 10: 0124171133 ISBN 13: 9780124171138
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Descripción Elsevier Science Publishing Co Inc, United States, 2014. Hardback. Estado de conservación: New. 2nd Revised edition. 236 x 188 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AAU9780124171138

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Ramachandran, K.M., Tsokos, Chris P.
Editorial: Academic Press (2014)
ISBN 10: 0124171133 ISBN 13: 9780124171138
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Descripción Academic Press, 2014. Estado de conservación: New. Num Pages: 826 pages, Illustrated. BIC Classification: PBT. Category: (U) Tertiary Education (US: College). Dimension: 242 x 188 x 39. Weight in Grams: 1760. . 2014. 2nd Edition. Hardcover. . . . . . Nº de ref. de la librería V9780124171138

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Kandethody M. Ramachandran, Chris P. Tsokos
Editorial: Elsevier Science Publishing Co Inc 2014-08-18, San Diego (2014)
ISBN 10: 0124171133 ISBN 13: 9780124171138
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Descripción Elsevier Science Publishing Co Inc 2014-08-18, San Diego, 2014. hardback. Estado de conservación: New. Nº de ref. de la librería 9780124171138

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