Accession Number : ADA292773

Title :   Nonparametric Methods for Incomplete Data in Reliability and for Changepoints in Smooth Functions.

Descriptive Note : Final rept. 1 Jul 91-30 Jun 94,

Corporate Author : CALIFORNIA UNIV DAVIS

Personal Author(s) : Mueller, Hans-Georg ; Wang, Jane-Ling

PDF Url : ADA292773

Report Date : 16 DEC 1994

Pagination or Media Count : 17

Abstract : The research funded during this period led to more than 30 accepted or published papers in refereed statistical journals. Several graduate students were involved in the research during this period who contributed significantly to the success of the project as well as benefited form opportunities for educational and research achievements leading to the PhD degree (Sam Hawala, Kathryn Prewitt and Kai-Sheng Song). The research achievements for this project roughly fall into five areas of research, all of which are in nonparametric statistics. They cover a wide range of topics from the applied to the theoretical and have important implications for data analysis, as well as for the theory of Statistics. (AN)

Descriptors :   *NONPARAMETRIC STATISTICS, MATHEMATICAL MODELS, ALGORITHMS, OPTIMIZATION, MAXIMUM LIKELIHOOD ESTIMATION, MULTIVARIATE ANALYSIS, RANDOM VARIABLES, STATISTICAL INFERENCE, STATISTICAL DATA, TIME SERIES ANALYSIS, ANALYSIS OF VARIANCE, PROBABILITY DENSITY FUNCTIONS, KERNEL FUNCTIONS, REGRESSION ANALYSIS, RELIABILITY, LEAST SQUARES METHOD, CONVERGENCE, GOODNESS OF FIT TESTS.

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE