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Focused on distribution theory for advanced students, this text serves as a foundational resource for Master's and PhD candidates in statistics, biostatistics, and econometrics. It requires only calculus and linear algebra, avoiding measure theory. Key topics include distribution functions, expectation, the central limit theorem, and advanced concepts like exchangeability and orthogonal polynomials. An appendix provides a comprehensive summary of essential mathematical definitions and results, making it a valuable tool for understanding complex statistical theories.
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Elements of Distribution Theory, Thomas A. Severini
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- Année de publication
- 2015
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