Ordered Data Analysis, Modeling and Health Research Methods In Honor of H. N. Nagaraja's 60th Birthday

Ordered Data Analysis, Modeling and Health Research Methods In Honor of H. N. Nagaraja's 60th Birthday / edited by Pankaj Choudhary, Chaitra H. Nagaraja, Hon Keung Tony Ng.

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Choudhary, Pankaj (Editor), Nagaraja, Chaitra H. (Editor), Ng, Hon Keung Tony (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Springer Proceedings in Mathematics & Statistics, 149
Springer eBook Collection.
Subjects:
Statistics .
Probabilities.
Biomathematics.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Zaher A. Abo-Eleneen: Information Measures of Progressively Censored Samples
  • Barry C. Arnold: Variations on Some Exponential Characterization Themes
  • N. Balakrishnan: Ordering Order Statistics
  • Gadi Barlevy: Mandatory Disclosure and Financial Contagion
  • John A. Bunge: Diversity Estimation, Distribution Theory, and a Departure from the Mixed Poisson Model
  • Erhard Cramer: On Progressively Hybrid Censored Data from Exponential Distributions
  • Jonathan R. M. Hosking: Variance Estimation for L-Moments and L-Comoments
  • Udo Kamps: Distances between Models of Generalized Order Statistics
  • Sally C. Morton: Data, Design, and Analysis for Comparative Effectiveness Research Decisions
  • Nitis Mukhopadhyay: On Determination of an Appropriate Pilot Sample Size
  • Tapan Nayak: Pitman Closest Equivariant Estimators and Predictors under Location-Scale Models
  • Nalini Ravishanker: Hierarchical Dynamic Models for Multivariate Times Series of Counts, with Applications
  • Thomas J. Santner:  Using Combined Physical and Computer Experiments to Engineer Tissue Components.

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