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Statistical Modeling Computation by Chan Joshua (23 results)
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Statistical Modeling and Computation
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Statistical Modeling and Computation
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Statistical Modeling and Computation
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Statistical Modeling and Computation
Published by Springer-Verlag New York Inc, 2016
ISBN 10: 149395332X ISBN 13: 9781493953325
Language: English
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Add to basketPaperback. Condition: Brand New. reprint edition. 420 pages. 9.25x6.10x0.99 inches. In Stock.
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Statistical Modeling and Computation
Published by Springer New York, Springer US Aug 2016, 2016
ISBN 10: 149395332X ISBN 13: 9781493953325
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical Modeling and Computation provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of Mathematical Statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and applications. Each of the three parts will cover topics essential to university courses. Part I covers the fundamentals of probability theory. In Part II, the authors introduce a wide variety of classical models that include, among others, linear regression and ANOVA models. In Part III, the authors address the statistical analysis and computation of various advanced models, such as generalized linear, state-space and Gaussian models. Particular attention is paid to fast Monte Carlo techniques for Bayesian inference on these models. Throughout the book the authors include a large number of illustrative examples and solved problems. The book also features a section with solutions, an appendix that serves as a MATLAB primer, and a mathematical supplement.¿Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 420 pp. Englisch.
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Statistical Modeling and Computation
Published by Springer New York, Springer US, 2016
ISBN 10: 149395332X ISBN 13: 9781493953325
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical Modeling and Computationprovides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offersan integrated treatment of Mathematical Statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and applications. Each of the three parts will cover topics essential to university courses. Part I covers the fundamentals of probability theory. In Part II, the authors introduce a wide variety of classical models that include, among others, linear regression and ANOVA models. In Part III,the authorsaddress the statistical analysis and computation of various advanced models, such as generalized linear, state-space and Gaussian models. Particular attention is paid to fast Monte Carlo techniques for Bayesian inference on these models. Throughout the book the authorsinclude a large number of illustrative examples and solved problems. The book also features a section with solutions, an appendix that serves as a MATLAB primer, and a mathematical supplement.
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Statistical Modeling and Computation
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Statistical Modeling and Computation
Published by Springer New York, Chapman And Hall/CRC Aug 2016, 2016
ISBN 10: 149395332X ISBN 13: 9781493953325
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical Modeling and Computationprovides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offersan integrated treatment of Mathematical Statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and applications. Each of the three parts will cover topics essential to university courses. Part I covers the fundamentals of probability theory. In Part II, the authors introduce a wide variety of classical models that include, among others, linear regression and ANOVA models. In Part III,the authorsaddress the statistical analysis and computation of various advanced models, such as generalized linear, state-space and Gaussian models. Particular attention is paid to fast Monte Carlo techniques for Bayesian inference on these models. Throughout the book the authorsinclude a large number of illustrative examples and solved problems. The book also features a section with solutions, an appendix that serves as a MATLAB primer, and a mathematical supplement. 420 pp. Englisch.
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Statistical Modeling and Computation
Published by Springer Verlag GmbH, 2025
ISBN 10: 107164131X ISBN 13: 9781071641316
Language: English
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