Mathematical Statistics for Economics and Business
Mathematical Statistics for Economics and Business, Second Edition, provides a comprehensive introduction to the principles of mathematical statistics which underpin statistical analyses in the fields of economics, business, and econometrics. The selection of topics in this textbook is designed to provide students with a...
A Probability Path (Modern Birkhäuser Classics)
Many probability books are written by mathematicians and have the built-in bias that the reader is assumed to be a mathematician coming to the material for its beauty. This textbook is geared towards beginning graduate students from a variety of disciplines whose primary focus is not necessarily mathematics for its own sake. Instead,...
Probability: With Applications and R
An introduction to probability at the undergraduate level
Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability....
Introduction to Probability and Stochastic Processes with Applications
An easily accessible, real-world approach to probability and stochastic processes
Introduction to Probability and Stochastic Processes with Applications presents a clear, easy-to-understand treatment of probability and stochastic processes, providing readers with a solid foundation they can build upon throughout their...
Fundamentals of Probability and Statistics for Engineers This book was written for an introductory one-semester or two-quarter course in probability and statistics for students in engineering and applied sciences. No previous knowledge of probability or statistics is presumed but a good understanding of calculus is a prerequisite for the material.
The development of this book was guided by a...
Artificial Intelligence: A Modern Approach (3rd Edition)
Artificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the full breadth of the field, which encompasses logic, probability, and continuous mathematics; perception, reasoning, learning, and action; and everything from microelectronic devices to robotic planetary explorers. The book is...
Bayesian Biostatistics and Diagnostic Medicine
Bayesian methods are being used more often than ever before in biology and
medicine. For example, at the University of Texas MD Anderson Cancer
Center, Bayesian sequential stopping rules routinely are used for the design
of clinical trials. This book is based on the author’s experience working with
a variety of... Advanced Digital Signal Processing and Noise Reduction Signal processing plays an increasingly central role in the development of modern telecommunication and information processing systems, with a wide range of applications in areas such as multimedia technology, audio-visual signal processing, cellular mobile communication, radar systems and financial data forecasting. The theory and application of... The Mathematics of Coding Theory
This book is intended to be accessible to undergraduate students with two
years of typical mathematics experience, most likely meaning calculus with a little
linear algebra and differential equations. Thus, specifically, there is no assumption
oLa background inabstr&;t algebra or number theory, nor of probability, nor of
|Result Page: 36 35 34 33 32 31 30 29 28 27 |