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Více informací o knize Fundamentals of Mathematical Statistics

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Anotace knihy

This is a text (divided into two volumes) for a two semester course in Mathematical Statistics at the Senior/Graduate level. The two main pedagogical aspects in these Volumes are: (i) the material is designed in lessons (each for a 50 minute class) with complementary exercises and home work. (ii) although the material is traditional, great care is exerted upon self-contained, rigorous and complete presentations. An elementary introduction to characteristic functions and probability measures and intergration, but not general measure theory in Volume I, allows a complete proof of some central limit theorems and a rigorous treatment of asymptotic of statistical inference. But students need to be familiar only with such things as Jacobians and eigenvalues of matrices. Volume II: Statistical Inference is designed for the second semester and contains a rigorous introduction to Mathematical Statistics, from random samples to asymptotic theory of statistical inference.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Probability & statistics

• Plný název: Fundamentals of Mathematical Statistics
• Podnázev: Statistical Inference
• Autor: Hung T. Nguyen, Gerald S. Rogers
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 422
• EAN: 9780387970202
• ISBN: 0387970207
• ID: 01385040
• Nakladatelství: Springer, Berlin
• Hmotnost: 760 g
• Rozměry: 240 × 160 × 25 mm

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