Statistical methods and practice : recent advances
Author(s)
Bibliographic Information
Statistical methods and practice : recent advances
Narosa Pub. House, c2003
Available at 1 libraries
  Aomori
  Iwate
  Miyagi
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  Kumamoto
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  Okinawa
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Note
Summary: Chiefly papers presented at the Symposium; festschrift for K.N. Ponnuswamy, b. 1940, and K. Suresh Chandra, b. 1940, Indian statisticians
Includes bibliographical references and indexes
Description and Table of Contents
Description
Statistical methods serve as valuable tools in business, health and industry. Statistical problems formulated in different ways allow the user to make appropriate types of decisions in these applications. This volume contains contributions from acknowledged experts in different aspects of statistical theory and applications with a goal to:
Review recent developments.
Focus on and highlight some new results and applications.
Suggests some interesting possible new directions for research.
This carefully edited volume, divided into seven parts – General, Distribution Theory, Inference, Outliers and Robust Inference, Design of Experiments, Survival Analysis and Reliability and Applied Probability will benefit both the student and researcher.
Table of Contents
Preface
List of Contributors
List of Tables
Part 1. General: Statistical Proofs of Some Matrix Theorems
Part II:Distribution Theory: Distributions in Given Parametric Families Most Nearly Compatible with Given Conditional Information
Some Properties of the Matrix Generalized Inverse Gaussian Distribution
On a General Multivariate Dirichlet Density and it’s Applications
Part III. Inference: Estimation in a Gompertzian Stochastic Model
Simultaneous Equivariant Estimation of the Parameters of Uniform Models Based on Progressive Type II Right Censored Sample
Best Unbiased Predictor with Respect to Convex Loss Function
Limits of Bayes Estimates of Estimable Parameters
Some Exact Results in Sequential Fixed – width Interval Estimation of Location Parameter of Exponential Distribution
Selecting the Normal Population with the Largest Mean: A Restricted Subset Selection Rule
Estimation of the Number of Signals in the Uniform Linear Array Model
Quadratic Discriminant Function: Estimation of Probability of Misclasssification
Part IV. Outliers and Robust Inference: Outlier – Robust Estimation of the Mean of an Exponential Distribution Under the Presence of Multiple Outliers
The Hermitian Estimator of the Quantile Function: Implications for the M- Estimation of Location
Part V. Design of Experiments: Discrete Structure of Group Divisible Designs with g = l1 + 2 and h = 4
E-Optimality and Group Divisible Designs
Optimum and Restricted-Optimum Designs for Multivariate Time-Series Experiments
Interval Estimation of Variance Components in Triallel Model
Improved Estimators of Variance Components in Diallel Model
Part VI. Survival Analysis and Reliability: Analysis of Incomplete Data in Presence of Dependent Competing Risks
Reliability Modelling in Bivariate Pearson System
Part VII. Applied Probability: A Continuous Review Perishable Inventory System with Poisson Demand and Partial Backlogging
Subject Index
Author Index
by "Nielsen BookData"