Statistical methods and practice : recent advances
著者
書誌事項
Statistical methods and practice : recent advances
Narosa Pub. House, c2003
大学図書館所蔵 全1件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
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
内容説明・目次
内容説明
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.
目次
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
「Nielsen BookData」 より