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This is a textbook for an undergraduate course in probability and statistics. The approximate prerequisites are two or three semesters of calculus and some linear algebra. Students attending the class include mathematics, engineering, and computer science majors.
This book is the first systematic treatment of Bayesian nonparametric methods and the theory behind them. It will also appeal to statisticians in general. The book is primarily aimed at graduate students and can be used as the text for a graduate course in Bayesian non-parametrics.
The document contains the final report of a project to determine the factors that account for disproportionate representation of minority students in special education programs, especially programs for mentally retarded students; and to identify placement criteria for practices that do not affect minority students disproportionately. Chapter 1 looks at six potential causes of disproportionate placement of minorities in educable mentally retarded (EMR) programs: legal and administrative requirements, characteristics of students, quality of the instruction received, possible biases in the assessment process, characteristics of the home and family environment, and broader historical and cultura...
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