Meet the editor

Jan Peter Hessling earned his PhD in Theoretical Physics from Chalmers University of Technology, Gothenburg, Sweden, in 1996, and his MSc in Physics from the University of Massachusetts, USA, in 1991. Since then he has been devoted to the development of novel mathematical concepts, recently focusing on modeling uncertainty and dynamic analysis. Peter is the original proposer of *Deterministic Sampling* for uncertainty quantification

and model calibration, and *Dynamic Metrology* for analysis of dynamic measurements utilizing custom digital filtering. Peter has authored three book chapters for InTech and about 20 journal articles as leading author; his current Google h-index = 12. Since 2016 his concepts have been further developed in the privately held company Kapernicus AB, dedicated to applied mathematical R&D, with services offered worldwide.

Contents

by Jan Peter Hessling

and S.G. Kolesnikov

and Its Applications

by Nilgün Yıldız

in Two-Phase Stratified Sampling

Methods of Russian Patent Analysis

a Discounted Optimality Criterion by Jesús Adolfo Minjárez-Sosa

by Evrim Oral

Preface III

Chapter 1 1

Chapter 2 11

Chapter 3 29

Chapter 4 41

Chapter 5 71

Chapter 6 89

Chapter 7 115

Chapter 8 127

Introductory Chapter: Ramifications of Incomplete Knowledge

Surveying Sensitive Topics with Indirect Questioning

Development of Estimation Procedure of Population Mean

by Partha Parichha, Kajla Basu and Arnab Bandyopadhyay

by Dmitriy Korobkin, Sergey Vasiliev, Sergey Fomenkov

Density Estimation in Inventory Control Systems under

A Comparative Study of Maximum Likelihood Estimation

Asymptotic Normality of Hill's Estimator under Weak Dependence

A Study on the Comparison of the Effectiveness of the Jackknife

and Bayesian Estimation for Erlang Distribution

by Kaisar Ahmad and Sheikh Parvaiz Ahmad

by Boualam Karima and Berkoun Youcef

Method in the Biased Estimators
