Elements of Distribution Theory This detailed introduction to distribution theory is designed as a text for the probability portion of the first year statistical theory sequence for Master s and PhD students in statistics biostatis

This detailed introduction to distribution theory is designed as a text for the probability portion of the first year statistical theory sequence for Master s and PhD students in statistics, biostatistics, and econometrics The text uses no measure theory, requiring only a background in calculus and linear algebra Topics range from the basic distribution and density functThis detailed introduction to distribution theory is designed as a text for the probability portion of the first year statistical theory sequence for Master s and PhD students in statistics, biostatistics, and econometrics The text uses no measure theory, requiring only a background in calculus and linear algebra Topics range from the basic distribution and density functions, expectation, conditioning, characteristic functions, cumulants, convergence in distribution and the central limit theorem to advanced concepts such as exchangeability, models with a group structure, asymptotic approximations to integrals and orthogonal polynomials An appendix gives a detailed summary of the mathematical definitions and results that are used in the book.

## One thought on “Elements of Distribution Theory”