Open access peer-reviewed Edited Volume

Statistical Methodologies

Statistical practices have recently been questioned by numerous independent authors, to the extent that a significant fraction of accepted research findings can be questioned. This suggests that statistical methodologies may have gone too far into an engineering practice, with minimal concern for their foundation, interpretation, assumptions, and limitations, which may be jeopardized in the current context. Disguised by overwhelming data sets, advanced processing, and stunning presentations, the basic approach is often intractable to anyone but the analyst. The hierarchical nature of statistical inference, exemplified by Bayesian aggregation of prior and derived knowledge, may also be challenging. Conceptual simplified studies of the kind presented in this book could therefore provide valuable guidance when developing statistical methodologies, but also applying state of the art with greater confidence.

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Statistical MethodologiesEdited by Jan Peter Hessling

Published: February 26th 2020

DOI: 10.5772/intechopen.77486

ISBN: 978-1-78923-998-0

Print ISBN: 978-1-78923-997-3

eBook (PDF) ISBN: 978-1-83880-688-0

Copyright year: 2020

Books open for chapter submissions

962 Total Chapter Downloads

chaptersDownloads

Open access peer-reviewed

1. Introductory Chapter: Ramifications of Incomplete Knowledge

By Jan Peter Hessling

28

Open access peer-reviewed

2. Surveying Sensitive Topics with Indirect Questioning

By Evrim Oral

277

Open access peer-reviewed

3. Development of Estimation Procedure of Population Mean in Two-Phase Stratified Sampling

By Partha Parichha, Kajla Basu and Arnab Bandyopadhyay

130

Open access peer-reviewed

4. Methods of Russian Patent Analysis

By Dmitriy Korobkin, Sergey Vasiliev, Sergey Fomenkov and S.G. Kolesnikov

39

Open access peer-reviewed

5. Density Estimation in Inventory Control Systems under a Discounted Optimality Criterion

By Jesús Adolfo Minjárez-Sosa

113

Open access peer-reviewed

6. A Comparative Study of Maximum Likelihood Estimation and Bayesian Estimation for Erlang Distribution and Its Applications

By Kaisar Ahmad and Sheikh Parvaiz Ahmad

123

Open access peer-reviewed

7. Asymptotic Normality of Hill’s Estimator under Weak Dependence

By Boualam Karima and Berkoun Youcef

38

Open access peer-reviewed

8. A Study on the Comparison of the Effectiveness of the Jackknife Method in the Biased Estimators

By Nilgün Yıldız

220

Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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