Theory of Point Estimation

Pradip Kumar Sahu, Santi Ranjan Pal and Ajit Kumar Das
Additional contact information
Pradip Kumar Sahu: Bidhan Chandra Krishi Viswavidyalaya, Department of Agricultural Statistics
Santi Ranjan Pal: Bidhan Chandra Krishi Viswavidyalaya, Department of Agricultural Statistics
Ajit Kumar Das: Bidhan Chandra Krishi Viswavidyalaya, Department of Agricultural Statistics

Chapter Chapter 1 in Estimation and Inferential Statistics, 2015, pp 1-45 from Springer

Abstract: Abstract In carrying out any statistical investigation, we start with a suitable probability model for the phenomenon that we seek to describe (the choice of the model is dictated partly by the nature of the phenomenon and partly by the way data on the phenomenon are collected. Mathematical simplicity is also a point that is given some consideration in choosing the model).

Keywords: Conditional Distribution; Unbiased Estimator; Exponential Family; Factorization Theorem; Probability Mass Function (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-81-322-2514-0_1

Ordering information: This item can be ordered from
http://www.springer.com/9788132225140

DOI: 10.1007/978-81-322-2514-0_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().