Pal M Selected Topics in Statistical Inference Theory and Applications 2024
General:
Name: Pal M Selected Topics in Statistical Inference Theory and Applications 2024
Format: pdf
Size: 4.03 MB
Book:
Title: Selected Topics in Statistical Inference
Author: Manisha Pal · Bikas K. Sinha
Language: polski
Year: 2024
Subjects: Science & Technology, Mathematics, Probability Theory, Statistics
Publisher: Springer-Verlag New York, LLC
ISBN: 9789819725922
Total pages: 153
Description:
This book focuses exclusively on the domain of parametric inference and that, too, from a reader’s perspective, i.e., covering only point estimation of parameter(s). It covers those topics in parametric inference which need clarity of exposure to students, researchers, and teachers alike; mere statements of theorems and proofs may not always reveal the inner beauty and significance of some aspects of inference. To ensure clarity, the book discusses the following topics at an advanced level-(1) sequential (unbiased) point estimation of ‘p’ and its functions; generalization to trinomial and tetranomial populations; (2) some aspects of the use of additional resources in finite population inference; (3) the concept of sufficiency vis-à-vis the notion of sufficient experiments and comparison of experiments; (4) estimation of the size of a finite population with special features; and (5) unbiased estimation of reliability in exponential samples and other settings. This book provides a platform for thought-provoking, creative, and challenging discussions on a variety of topics in statistical estimation theory, it is also ideal for research methodology course for statistics research scholars, and for clarification of basic ideas in topics discussed at basic/advanced levels.
Download from RapidGator
https://rapidgator.net/file/fa644cfd2b6de5f29e189c4ba60fb6f2/vpb9h9k63905hsgg0nup93.pdf