Anthony Almudevar

Theory of Statistical Inference (eBook, PDF)

• Format: PDF

Produktbeschreibung

The purpose of applying mathematical theory to the theory of statistical inference is to make it simpler and more elegant. Theory of Statistical Inference is concerned with the development of a type of optimization theory which can be used to inform the choice of statistical methodology.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 470
• Erscheinungstermin: 30. Dezember 2021
• Englisch
• ISBN-13: 9781000488012
• Artikelnr.: 63129373

Autorenporträt

Anthony Almudevar is an Associate Professor of Biostatistics and Computational Biology at the University of Rochester. His research interests include statistical methodology, graphical models, bioinformatics, optimization and control theory. Other published volumes include Almudevar A (2014) Approximate Iterative Algorithms, CRC Press, and Statistical Modeling for Biological Systems: In Memory of Andrei Yakovlev, Anthony Almudevar, David Oakes and Jack Hall, editors (2020), Springer.

Inhaltsangabe

1 Distribution Theory 2 Multivariate Distributions 3 Statistical Models 4
Methods of Estimation 5 Hypothesis Testing 6 Linear Models 7 Decision
Theory 8 Uniformly Minimum Variance Unbiased (UMVU) Estimation 9 Group
Structure and Invariant Inference 10 The Neyman-Pearson Lemma 11 Limit
Theorems 12 Large Sample Estimation - Basic Principles 13 Asymptotic Theory
for Estimating Equations 14 Large Sample Hypothesis Testing A Parametric
Classes of Densities B Topics in Linear Algebra C Topics in Real Analysis
and Measure Theory D Group Theory