UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIREL06021


Registration ID:
305999

Page Number

106-109

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Title

Statistical Inferences and Fundamental Approaches

Abstract

There are various problems based on statistical inferences, such as, parameter estimation, detection, classification, prediction, pattern recognition and others. There are also various techniques to derive some statistical inferences. The article first reviews various problems based on statistical inferences with their differences. At the next level, the article compares the fundamental approaches towards the solutions of these problems. In the third part of the article, it explains the way various techniques for statistical may differ.

Key Words

Statistical inference, estimation, prediction, state estimation, Fisher estimation approach, Bayesian estimation

Cite This Article

"Statistical Inferences and Fundamental Approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.106-109, February-2019, Available :http://www.jetir.org/papers/JETIREL06021.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Statistical Inferences and Fundamental Approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp106-109, February-2019, Available at : http://www.jetir.org/papers/JETIREL06021.pdf

Publication Details

Published Paper ID: JETIREL06021
Registration ID: 305999
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 106-109
Country: Phagwara, Punjab, India .
Area: Engineering
ISSN Number: 2349-5162


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