This textbook provides a comprehensive introduction to mathematical statisticsprinciples underlying statistical analyses in the fields of economicsbusiness and ... » 

This textbook provides a comprehensive introduction to mathematical statisticsprinciples underlying statistical analyses in the fields of economicsbusiness and econometrics. The selection of topics is designed to providestudents with a substantial conceptual foundation from which to achieve athorough and mature understanding of statistical applications within thefields. The examples and problems are intended to show the wide applicabilityof statistics in the fields with the large majority having specific businessand economic contexts. After introducing the concepts of probability randomvariables and probability density functions the author develops the keyconcepts of mathematical statistics notably expectation samplingasymptotics and the main families of distributions. The latter half of thebook is then devoted to the theories of estimation and hypothesis testing withassociated examples and problems that indicate their wide applicability ineconomics and business. TOCElements of Probability Theory. Random VariablesDensities and Cumulative Distribution Functions. Mathematical Expectation andMoments. Parametric Families of Density Functions. Basic Asymptotics.Sampling Sample Moments Sampling Distributions and Simulation. Elements ofPoint Estimation Theory. Point Estimation Methods. Elements of HypothesisTesting Theory. HypothesisTesting Methods. Appendices. Index. «