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Beschreibung
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.
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.
Über den Autor

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.

Inhaltsverzeichnis

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.

Details
Erscheinungsjahr: 2025
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781032784861
ISBN-10: 1032784865
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: R. Schwob, Michael
Duan, Yunshan
Cantoni, Beatrice
Hersteller: Chapman and Hall/CRC
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 254 x 178 x 14 mm
Von/Mit: Michael R. Schwob (u. a.)
Erscheinungsdatum: 06.04.2025
Gewicht: 0,492 kg
Artikel-ID: 131825177

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