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Probability and Statistics for Economists (Hardcover)
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Probability and Statistics for Economists (Hardcover)
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A comprehensive and up-to-date introduction to the mathematics that
all economics students need to know Probability theory is the
quantitative language used to handle uncertainty and is the
foundation of modern statistics. Probability and Statistics for
Economists provides graduate and PhD students with an essential
introduction to mathematical probability and statistical theory,
which are the basis of the methods used in econometrics. This
incisive textbook teaches fundamental concepts, emphasizes modern,
real-world applications, and gives students an intuitive
understanding of the mathematics that every economist needs to
know. Covers probability and statistics with mathematical rigor
while emphasizing intuitive explanations that are accessible to
economics students of all backgrounds Discusses random variables,
parametric and multivariate distributions, sampling, the law of
large numbers, central limit theory, maximum likelihood estimation,
numerical optimization, hypothesis testing, and more Features
hundreds of exercises that enable students to learn by doing
Includes an in-depth appendix summarizing important mathematical
results as well as a wealth of real-world examples Can serve as a
core textbook for a first-semester PhD course in econometrics and
as a companion book to Bruce E. Hansen's Econometrics Also an
invaluable reference for researchers and practitioners
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