Exercises in Statistical Reasoning: Chapman & Hall/CRC Texts in Statistical Science
Autor Michael R. Schwob, Yunshan Duan, Beatrice Cantoni, Bernardo Flores-Lopez, Stephen G. Walkeren Limba Engleză Paperback – 6 apr 2025
Exercises in Statistical Reasoning is a collection of exercises designed to strengthen creative problem-solving skills. The exercises are designed to encourage readers to understand the key points of a problem while seeking knowledge, rather than separating out these two activities. To complete the exercises, readers may need to reference the literature, which is how research-based knowledge is often acquired.
Features of the Exercises
- The exercises are self-contained, though several build upon concepts from previous problems.
- Each exercise opens with a brief introduction that emphasizes the relevance of the content. Then, the problem statement is presented as a series of intermediate questions.
- For each exercise, we suggest one possible solution, though many may exist.
- Following each solution, we discuss the historical background of the content and points of interest.
- For many exercises, a brief demonstration is provided that illustrates relevant concepts.
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|---|---|---|
| Paperback (1) | 437.41 lei 3-5 săpt. | +23.08 lei 7-13 zile |
| CRC Press – 6 apr 2025 | 437.41 lei 3-5 săpt. | +23.08 lei 7-13 zile |
| Hardback (1) | 1073.64 lei 6-8 săpt. | |
| CRC Press – 6 apr 2025 | 1073.64 lei 6-8 săpt. |
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Specificații
ISBN-13: 9781032784861
ISBN-10: 1032784865
Pagini: 256
Ilustrații: 68
Dimensiuni: 178 x 254 x 14 mm
Greutate: 0.47 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Texts in Statistical Science
ISBN-10: 1032784865
Pagini: 256
Ilustrații: 68
Dimensiuni: 178 x 254 x 14 mm
Greutate: 0.47 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Texts in Statistical Science
Public țintă
Academic, Postgraduate, Professional Reference, and Undergraduate AdvancedCuprins
1. Probability. 2. Likelihood Estimation. 3. Exponential Family. 4. Hypothesis Testing & Decision Theory. 5. Linear Models & Regression. 6. Asymptotics. 7. Time Series. 8. Markov Chain Monte Carlo.
Notă biografică
Michael R. Schwob, Yunshan Duan, Beatrice Cantoni, and Bernardo Flores-López are PhD candidates in the Department of Statistics and Data Sciences at The University of Texas at Austin.
Stephen G. Walker is a professor in the Department of Mathematics and the Department of Statistics and Data Sciences at The University of Texas at Austin. He is the holder of the Paul D. and Betty Robertson Meek and American Petrofina Foundation Centennial Professorship in Business in the McCombs School of Business.
Stephen G. Walker is a professor in the Department of Mathematics and the Department of Statistics and Data Sciences at The University of Texas at Austin. He is the holder of the Paul D. and Betty Robertson Meek and American Petrofina Foundation Centennial Professorship in Business in the McCombs School of Business.
Descriere
Exercises designed to strengthen creative problem-solving skills, designed to encourage readers to understand the key points of a problem while seeking knowledge, rather than separating out these two activities. To complete the exercises, readers may need to reference the literature, which is how research-based knowledge is often acquired.