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Probability
Probability

This textbook is ideal for an undergraduate introduction to probability, with a calculus prerequisite. It is based on a course that the author has taught many times at Berkeley. The text's overall style is informal, but all results are stated precisely, and most are proved. Understanding is developed through intuitive explanations and...

Intuitive Probability and Random Processes using MATLAB
Intuitive Probability and Random Processes using MATLAB

Intuitive Probability and Random Processes using MATLAB® is an introduction to probability and random processes that merges theory with practice. Based on the author’s belief that only "hands-on" experience with the material can promote intuitive understanding, the approach is to motivate the need...

Applied Statistics and Probability for Engineers
Applied Statistics and Probability for Engineers

Real Engineering Situations, Real Engineering Data

With Montgomery and Runger’s best-selling engineering statistics text, you can learn how to apply statistics to real engineering situations. The text shows you how to use statistical methods to design and develop new products, and new manufacturing...

Fourier Analysis: An Introduction (Princeton Lectures in Analysis)
Fourier Analysis: An Introduction (Princeton Lectures in Analysis)

This first volume, a three-part introduction to the subject, is intended for students with a beginning knowledge of mathematical analysis who are motivated to discover the ideas that shape Fourier analysis. It begins with the simple conviction that Fourier arrived at in the early nineteenth century when studying problems in the physical...

Mathematics of Digital Images: Creation, Compression, Restoration, Recognition
Mathematics of Digital Images: Creation, Compression, Restoration, Recognition
"Recognition explains the mathematics needed to carry out various aspects of digital imaging through examples, exercises with solutions, pseudocode and sample calculations on images. Suitable for a course or tutorial."
Spectra

"This book explains the mathematics needed to understand and carry out these components in
...
The Markets Never Sleep: Global Insights for More Consistent Trading (Wiley Trading)
The Markets Never Sleep: Global Insights for More Consistent Trading (Wiley Trading)
Praise for The Markets Never Sleep

"An excellent primer for futures and the global financial market, a clear voice of their importance for all traders. Tom also gives an easy-to-understand professional approach to discipline, money management, and the 'numbers' to watch that indicate market direction. Help for...

How to Think About Algorithms
How to Think About Algorithms
There are many algorithm texts that provide lots of well-polished code and proofs of correctness. This book is not one of them. Instead, this book presents insights, notations, and analogies to help the novice describe and think about algorithms like an expert. By looking at both the big picture and easy step-by-step methods for developing...
Introduction to Probability and Stochastic Processes with Applications
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...

R in a Nutshell (In a Nutshell (O'Reilly))
R in a Nutshell (In a Nutshell (O'Reilly))

If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data....

Multistate Systems Reliability Theory with Applications
Multistate Systems Reliability Theory with Applications

Most books in reliability theory are dealing with a description of component and system states as binary: functioning or failed. However, many systems are composed of multi-state components with different performance levels and several failure modes. There is a great need in a series of applications to have a more refined description of these...

Analytically Tractable Stochastic Stock Price Models (Springer Finance)
Analytically Tractable Stochastic Stock Price Models (Springer Finance)

Asymptotic analysis of stochastic stock price models is the central topic of the present volume. Special examples of such models are stochastic volatility models, that have been developed as an answer to certain imperfections in a celebrated Black-Scholes model of option pricing. In a stock price model with stochastic volatility, the random...

Design and Analysis of Randomized Algorithms: Introduction to Design Paradigms
Design and Analysis of Randomized Algorithms: Introduction to Design Paradigms

Randomization has become a standard approach in algorithm design. Efficiency and simplicity are the main features of randomized algorithms that often made randomization a miraculous springboard for solving complex problems in various applications. Especially in the areas of communication, cryptography, data management, and discrete...

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