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Ordered data analysis, modeling and ...
~
Choudhary, Pankaj K.
Ordered data analysis, modeling and health research methods[electronic resource] :in honor of H. N. Nagaraja's 60th Birthday /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
杜威分類號:
519.5
書名/作者:
Ordered data analysis, modeling and health research methods : in honor of H. N. Nagaraja's 60th Birthday // edited by Pankaj K. Choudhary, Chaitra H. Nagaraja, Hon Keung Tony Ng.
其他作者:
Choudhary, Pankaj K.
出版者:
Cham : : Springer International Publishing :, 2015.
面頁冊數:
xvii, 265 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:
Springer eBooks
標題:
Order statistics.
標題:
Mathematical statistics.
標題:
Stochastic processes.
標題:
Medical statistics.
標題:
Statistics.
標題:
Statistical Theory and Methods.
標題:
Probability Theory and Stochastic Processes.
標題:
Statistics for Life Sciences, Medicine, Health Sciences.
標題:
Genetics and Population Dynamics.
ISBN:
9783319254333
ISBN:
9783319254319
內容註:
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.
摘要、提要註:
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.
電子資源:
http://dx.doi.org/10.1007/978-3-319-25433-3
Ordered data analysis, modeling and health research methods[electronic resource] :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 /[electronic resource] :edited by Pankaj K. Choudhary, Chaitra H. Nagaraja, Hon Keung Tony Ng. - Cham :Springer International Publishing :2015. - xvii, 265 p. :ill. (some col.), digital ;24 cm. - Springer proceedings in mathematics & statistics,v.1492194-1009 ;. - Springer proceedings in mathematics & statistics ;v.70..
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.
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.
ISBN: 9783319254333
Standard No.: 10.1007/978-3-319-25433-3doiSubjects--Topical Terms:
492810
Order statistics.
LC Class. No.: QA278.7
Dewey Class. No.: 519.5
Ordered data analysis, modeling and health research methods[electronic resource] :in honor of H. N. Nagaraja's 60th Birthday /
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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.
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