Ordered Data Analysis, Modeling and Health Research Methods

Pankaj Choudhary

ISBN 10: 3319797883 / ISBN 13: 9783319797885

Published by Springer International Publishing Feb 2019, 2019

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This volume presents an eclectic mix of original research articles in areas covering the analysis of ordered data, stochastic modeling and biostatistics. These areas were featured in a conference held at the University of Texas at Dallas from March 7 to 9, 2014 in honor of Professor H. N. Nagaraja's 60th birthday and his distinguished contributions to statistics. The articles were written by leading experts who were invited to contribute to the volume from among the conference participants. The volume is intended for all researchers with an interest in order statistics, distribution theory, analysis of censored data, stochastic modeling, time series analysis, and statistical methods for the health sciences, including statistical genetics. 284 pp. Englisch.

Seller Inventory # 9783319797885

Bibliographic Details

• Title: Ordered Data Analysis, Modeling and Health Research Methods
• Publisher: Springer International Publishing Feb 2019
• Publication Date: 2019
• Language: English
• ISBN 10: 3319797883
• ISBN 13: 9783319797885
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 16D millimeters 235 millimeters width by 155 millimeters height by 16 millimeters depth
• Weight: 435 grams

About this title

Synopsis

This volume presents an eclectic mix of original research articles in areas covering the analysis of ordered data, stochastic modeling and biostatistics. These areas were featured in a conference held at the University of Texas at Dallas from March 7 to 9, 2014 in honor of Professor H. N. Nagaraja’s 60th birthday and his distinguished contributions to statistics. The articles were written by leading experts who were invited to contribute to the volume from among the conference participants. The volume is intended for all researchers with an interest in order statistics, distribution theory, analysis of censored data, stochastic modeling, time series analysis, and statistical methods for the health sciences, including statistical genetics.