This book has now been extensively revised and considerably enlarged. It now contains most of the topics concerning design and analysis of experiments. Presentation is mainly based on intuition and common sense using minimum mathematics. There are quite a number of new and yet unpublished results in the edition. The methodology has been evolved for providing efficient algorithms for writing computer programs and complete programs for many of the techniques are now included in the book. Each of the existing chapters has been extended by several numerical examples and new material to make the book self contained. This edition has been enlarged by including four more chapters covering main effect plans, several series of new designs, switch over designs and dialled crossing plans. A chapter on computer programs is an interesting and useful addition to the revised edition. Complete programs of composite nature are presented without redundant commands, camouflaging and any motive of secrecy so that the readers can have a feel of actual sequencing of commands constituting programs for problems of which the algorithm is known to them. Each program is supported by liberal notes needed for its execution.

Design and Analysis of Experiments

Politics & Social Sciences

Narayan C. Giri

Mihir Nath Das

Philosophy

John Wiley&Sons, Inc.

Multivariate Statistical Analysis, Revised and Expanded

Science & Math

Mathematics

Marcel Dekker Ltd

Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit theorems - and provides an introduction to various types of statistical problems, covering the broad range of statistical inference.;Requiring a prerequisite in calculus for complete understanding of the topics discussed, the Second Edition contains new material on: univariate distributions; multivariate distributions; large-sample methods; decision theory; and applications of ANOVA.;A primary text for a year-long undergraduate course in statistics (but easily adapted for a one-semester course in probability only), Introduction to Probability and Statistics is for undergraduate students in a wide range of disciplines-statistics, probability, mathematics, social science, economics, engineering, agriculture, biometry, and education.

Introduction to probability and statistics (Statistics: textbooks and monographs)

Chemistry

M. Dekker

<p>Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit theorems - and provides an introduction to various types of statistical problems, covering the broad range of statistical inference.;Requiring a prerequisite in calculus for complete understanding of the topics discussed, the Second Edition contains new material on: univariate distributions; multivariate distributions; large-sample methods; decision theory; and applications of ANOVA.;A primary text for a year-long undergraduate course in statistics (but easily adapted for a one-semester course in probability only), Introduction to Probability and Statistics is for undergraduate students in a wide range of disciplines-statistics, probability, mathematics, social science, economics, engineering, agriculture, biometry, and education.</p>

Introduction to Probability and Statistics, 2nd Edition (Statistics: A Series of Textbooks and Monographs)

CRC-Press

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Books by Narayan C. Giri