Alan M. Polansky

Introduction to Statistical Limit Theory (eBook, PDF)

• Format: PDF

Produktbeschreibung

Helping students develop a good understanding of asymptotic theory, Introduction to Statistical Limit Theory provides a thorough yet accessible treatment of common modes of convergence and their related tools used in statistics. It also discusses how the results can be applied to several common areas in the field.The author explains as much of the

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 645
• Erscheinungstermin: 7. Januar 2011
• Englisch
• ISBN-13: 9781420076615
• Artikelnr.: 57137967

Autorenporträt

Alan M. Polansky is an associate professor in the Division of Statistics at Northern Illinois University. Dr. Polansky is the author of Observed Confidence Levels: Theory and Application (CRC Press, October 2007). His research interests encompass nonparametric statistics and industrial applications of statistics.

Inhaltsangabe

Sequences of Real Numbers and Functions. Random Variables and
Characteristic Functions. Convergence of Random Variables. Convergence of
Distributions. Convergence of Moments. Central Limit Theorems. Asymptotic
Expansions for Distributions. Asymptotic Expansions for Random Variables.
Differentiable Statistical Functionals. Parametric Inference. Nonparametric
Inference. Appendices. References.