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Reviews reform desiderata, the institutional anatomy, key problem areas, criticism and control, and rapid advances in the release of previously unavailable statistics. Very little improvement has been observed in the quality and reliability of Soviet economic statistics, particularly in the area of prices and in the methodology of national income accounting. (Abstract amended)

Since the earliest of times, human beings have endeavored to uncover the causes of prosperity. History is the best tool that society possesses for identifying and analyzing the factors that contribute to economic growth; yet economic statistics that lend

Statistics is the science that focuses on drawing conclusions from data, by modeling and analyzing the data using probabilistic models. In An Introduction to Mathematical Statistics the authors describe key concepts from statistics and give a mathematical basis for important statistical methods. Much attention is paid to the sound application of those methods to data. The three main topics in statistics are estimators, tests, and confidence regions. The authors illustrate these in many examples, with a separate chapter on regression models, including linear regression and analysis of variance. They also discuss the optimality of estimators and tests, as well as the selection of the best-fitting model. Each chapter ends with a case study in which the described statistical methods are applied. This book assumes a basic knowledge of probability theory, calculus, and linear algebra.--

Characterizing and defining data -- Presenting and organizing data -- Essentials of probability and counting rules -- Discrete data and probability -- Continuous distributions and probability -- Methods and theory of statistical sampling -- Estimating population characteristics -- Hypothesis testing from a single population -- Hypothesis testing from different populations -- Forecasting from correlated data -- Business decisions and risk -- Statistical process control, SPC -- Six-sigma management