A Mathematical Primer for Social Statistics (Quantitative Applications in the Social Sciences)

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John Foxx2019;s A Mathematical Primer for Social Statistics covers many often ignored yet important topics in mathematics and mathematical statistics. This text provides readers with the foundation on which an understanding of applied statistics rests.Key Features· Covers matrices, linear algebra, and vector geometryxB7; Discusses basic differential and integral calculus xB7; Focuses on probability and statistical estimationxB7; Develops by way of illustration the seminal statistical method of linear least-squares regression Intended AudienceThis book is ideal for advanced undergraduates, graduate students, and researchers in the social sciences who need to understand and use relatively advanced statistical methods but whose mathematical preparation for this work is insufficient.Learn more about x201C;The Little Green Bookx201D; - QASS Series! Click Here