Selected topics in statistical inference: theory and applications

By:

Pal, Manisha

Contributor(s):

Sinha, Bikas K

Material type: Text

TextPublication details: Springer Singapore 2024Description: xvii, 142 pISBN:

9789819725915

Subject(s):

Mathematical statistics

DDC classification:

519.5 PAL

Summary: 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. (https://link.springer.com/book/10.1007/978-981-97-2592-2)

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks		1	Available		008589

Table of contents:
Glimpses of the Book
Manisha Pal, Bikas K. Sinha
Pages 1-2
Sequential Binomial Estimation
Manisha Pal, Bikas K. Sinha
Pages 3-43
Use of Additional Resources in Finite Population Inference
Manisha Pal, Bikas K. Sinha
Pages 45-70
Notion of Sufficiency in Statistical Inference—Theory and Applications
Manisha Pal, Bikas K. Sinha
Pages 71-92
Estimation of the Size of a Finite Population with Special Features
Manisha Pal, Bikas K. Sinha
Pages 93-115
Unbiased Estimation of Reliability in Exponential Samples
Manisha Pal, Bikas K. Sinha
Pages 117-136

[https://link.springer.com/book/10.1007/978-981-97-2592-2]

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.

(https://link.springer.com/book/10.1007/978-981-97-2592-2)

There are no comments on this title.

to post a comment.