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Published by Cengage Learning India, 2007
ISBN 10: 8131503941 ISBN 13: 9788131503942
Language: English
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Published by Cengage Learning India, 2007
ISBN 10: 8131503941 ISBN 13: 9788131503942
Language: English
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Published by Cengage Learning India, 2007
ISBN 10: 8131503941 ISBN 13: 9788131503942
Language: English
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Paperback. Condition: new. Paperback. Statistical inference is the method in which a researcher draws conclusions from research data which is subject to random variation. The end goal of statistical inference is to determine what is to be done next with the data set. Statistical Inference is a text that is ideally suited for students in their first year of graduate studies who have a firm footing in their understanding of mathematical concepts. The text builds on the basic theories of probability, using definitions, techniques, and concepts which are statistical and naturally extend from previous concepts. Students can use this text in two ways. They can focus on the practical aspects of the theory, understand basic concepts, and derive statistical procedures which could be used for different situations. Or, students can focus on formally optimizing their research investigations. This second edition of the text has several salient features. It contains new material on random number-generation, bootstrapping, simulation methods, p-values, EM algorithm, and robustness. The authors have also included new topics on Logistic Regression and Robust Regression. The material has been restructured for the purpose of clarity. Updated exercises and key features are also included. The text contains 12 chapters. The topics covered by these chapters are Probability Theory, Multiple Random Variables, Common Families of Distributions, Random Sample Properties, Data Reduction Principles, Interval Estimation, Point Estimation, Hypothesis Testing, Asymptotic Evaluations, Regression and Variance Analysis, and Regression Models. Statistical Inference was published in 2007. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Chapman and Hall/CRC (edition 2), 2024
ISBN 10: 1032593032 ISBN 13: 9781032593036
Language: English
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032593032 ISBN 13: 9781032593036
Language: English
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032593032 ISBN 13: 9781032593036
Language: English
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032593032 ISBN 13: 9781032593036
Language: English
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032593032 ISBN 13: 9781032593036
Language: English
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ISBN 10: 1032593032 ISBN 13: 9781032593036
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032593032 ISBN 13: 9781032593036
Language: English
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Published by Chapman and Hall/CRC (edition 2), 2024
ISBN 10: 1032593032 ISBN 13: 9781032593036
Language: English
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Published by Chapman and Hall/CRC (edition 2), 2024
ISBN 10: 1032593032 ISBN 13: 9781032593036
Language: English
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032593032 ISBN 13: 9781032593036
Language: English
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Published by Cengage Learning India, 2007
ISBN 10: 8131503941 ISBN 13: 9788131503942
Language: English
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Add to basketPaperback. Condition: new. Paperback. Statistical inference is the method in which a researcher draws conclusions from research data which is subject to random variation. The end goal of statistical inference is to determine what is to be done next with the data set. Statistical Inference is a text that is ideally suited for students in their first year of graduate studies who have a firm footing in their understanding of mathematical concepts. The text builds on the basic theories of probability, using definitions, techniques, and concepts which are statistical and naturally extend from previous concepts. Students can use this text in two ways. They can focus on the practical aspects of the theory, understand basic concepts, and derive statistical procedures which could be used for different situations. Or, students can focus on formally optimizing their research investigations. This second edition of the text has several salient features. It contains new material on random number-generation, bootstrapping, simulation methods, p-values, EM algorithm, and robustness. The authors have also included new topics on Logistic Regression and Robust Regression. The material has been restructured for the purpose of clarity. Updated exercises and key features are also included. The text contains 12 chapters. The topics covered by these chapters are Probability Theory, Multiple Random Variables, Common Families of Distributions, Random Sample Properties, Data Reduction Principles, Interval Estimation, Point Estimation, Hypothesis Testing, Asymptotic Evaluations, Regression and Variance Analysis, and Regression Models. Statistical Inference was published in 2007. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032593032 ISBN 13: 9781032593036
Language: English
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032593032 ISBN 13: 9781032593036
Language: English
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ISBN 10: 1032593032 ISBN 13: 9781032593036
Language: English
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032593032 ISBN 13: 9781032593036
Language: English
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032593032 ISBN 13: 9781032593036
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032593032 ISBN 13: 9781032593036
Language: English
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032593032 ISBN 13: 9781032593036
Language: English
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Published by Cengage Learning India, 2007
ISBN 10: 8131503941 ISBN 13: 9788131503942
Language: English
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Add to basketPaperback. Condition: new. Paperback. Statistical inference is the method in which a researcher draws conclusions from research data which is subject to random variation. The end goal of statistical inference is to determine what is to be done next with the data set. Statistical Inference is a text that is ideally suited for students in their first year of graduate studies who have a firm footing in their understanding of mathematical concepts. The text builds on the basic theories of probability, using definitions, techniques, and concepts which are statistical and naturally extend from previous concepts. Students can use this text in two ways. They can focus on the practical aspects of the theory, understand basic concepts, and derive statistical procedures which could be used for different situations. Or, students can focus on formally optimizing their research investigations. This second edition of the text has several salient features. It contains new material on random number-generation, bootstrapping, simulation methods, p-values, EM algorithm, and robustness. The authors have also included new topics on Logistic Regression and Robust Regression. The material has been restructured for the purpose of clarity. Updated exercises and key features are also included. The text contains 12 chapters. The topics covered by these chapters are Probability Theory, Multiple Random Variables, Common Families of Distributions, Random Sample Properties, Data Reduction Principles, Interval Estimation, Point Estimation, Hypothesis Testing, Asymptotic Evaluations, Regression and Variance Analysis, and Regression Models. Statistical Inference was published in 2007. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032593032 ISBN 13: 9781032593036
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
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