Probability and Statistics for Economists

Probability and Statistics have been widely used in various fields of science, including economics. Like advanced calculus and linear algebra, probability and statistics are indispensable mathematical tools in economics. Statistical inference in economics, namely econometric analysis, plays a crucial methodological role in modern economics, particularly in empirical studies in economics.

This textbook covers probability theory and statistical theory in a coherent framework that will be useful in graduate studies in economics, statistics and related fields. As a most important feature, this textbook emphasizes intuition, explanations and applications of probability and statistics from an economic perspective.

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Contents: PrefaceIntroduction to Probability and StatisticsFoundation of Probability TheoryRandom Variables and Univariate Probability DistributionsImportant Probability DistributionsMultivariate Probability DistributionsIntroduction to Sampling TheoryConvergences and Limit TheoremsParameter Estimation and EvaluationHypothesis TestingClassical Linear RegressionConclusionBibliographyIndex
Readership: Graduate students in economics, statistics and related fields.
Keywords:Probability;Statistics;Econometrics;Graduate Textbook;Statistical InferenceReview:Key Features:Provides comprehensive coverage of probability and statistics that will be useful as indispensable mathematical tools in economicsVarious numerical examples are provided to illustrate the concepts, theory and methods in probability and statistics introduced in the bookAs a most important feature that distinguishes it from other probability and statistics textbooks, this book emphasizes explanations and applications of probability and statistics from an economic perspective