The Career of a Research Statistician : From Consulting to Theoretical Development (Statistics for Industry, Technology, and Engineering)

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The Career of a Research Statistician : From Consulting to Theoretical Development (Statistics for Industry, Technology, and Engineering)

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  • 製本 Hardcover:ハードカバー版/ページ数 209 p.
  • 言語 ENG
  • 商品コード 9783030394332

Full Description

This monograph highlights the connection between the theoretical work done by research statisticians and the impact that work has on various industries. Drawing on decades of experience as an industry consultant, the author details how his contributions have had a lasting impact on the field of statistics as a whole. Aspiring statisticians and data scientists will be motivated to find practical applications for their knowledge, as they see how such work can yield breakthroughs in their field.

Each chapter highlights a consulting position the author held that resulted in a significant contribution to statistical theory. Topics covered include tracking processes with change points, estimating common parameters, crossing fields with absorption points, military operations research, sampling surveys, stochastic visibility in random fields, reliability analysis, applied probability, and more. Notable advancements within each of these topics are presented by analyzing the problems facing various industries, and how solving those problems contributed to the development of the field.

The Career of a Research Statistician is ideal for researchers, graduate students, or industry professionals working in statistics. It will be particularly useful for up-and-coming statisticians interested in the promising connection between academia and industry.

Contents

Introduction.- Tracking Normal Processes Subjected to Change Points.- Estimating the Common Parameter of Several Distributions.- Survival Probabilities in Crossing Fields with Absorption Points.- Logistics and Operations Analysis for the Military.- Foundation of Sampling Surveys.- Visibility in Random Fields.- Sequential Testing and Estimation for Reliability Analysis.- Random Choice of Fractional Replications.- Sequential Search of an Optimal Dosage.- Contributions to Applied Probability.- Current Challenges in Statistics.

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