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Foundations of Mathematical Analysis for Statistics

Foundations of Mathematical Analysis for Statistics

0 - Default Title
Description
Mathematical analysis forms the rigorous backbone of modern statistics, enabling a precise understanding of continuity, differentiability, integration, and convergence, all of which are central to probability theory, inference, stochastic processes, and machine learning. As the boundaries between pure mathematics and statistical applications continue to dissolve, a solid foundation in analysis becomes not just desirable but indispensable for serious students of statistics. This book, Foundations of Mathematical Analysis for Statistics, is the result of years of teaching and research, distilled into a coherent and structured resource intended for graduate and advanced undergraduate students in statistics, mathematics, and allied disciplines. It bridges classical real and complex analysis with the analytical tools used in contemporary statistical theory and modeling.
Product details
Binding:
Paperback
Number of Pages:
136
Release Date:
2025-06-03
Publication Date:
2025-06-03
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
620746074X
ISBN13:
9786207460748
GPSR Manufacturer Reference:
Weight:
221 g
Height:
150 cm
Width:
220 cm
Thickness:
9 cm
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