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An Introduction to Regression Graphics (Wiley Series in Probability and Statistics)
An Introduction to Regression Graphics (Wiley Series in Probability and Statistics)

Covers the use of dynamic and interactive computer graphics in linear regression analysis, focusing on analytical graphics. Features new techniques like plot rotation. The authors have composed their own regression code, using Xlisp-Stat language called R-code, which is a nearly complete system for linear regression analysis and can be...

Basic Concepts in Computational Physics
Basic Concepts in Computational Physics

With the development of ever more powerful computers a new branch of physics and engineering evolved over the last few decades: Computer Simulation or Computational Physics. It serves two main purposes:

- Solution of complex mathematical problems such as, differential equations, minimization/optimization, or high-dimensional...

Multiple Wiener-Itô Integrals: With Applications to Limit Theorems
Multiple Wiener-Itô Integrals: With Applications to Limit Theorems

The goal of this Lecture Note is to prove a new type of limit theorems for normalized sums of strongly dependent random variables that play an important role in probability theory or in statistical physics. Here non-linear functionals of stationary Gaussian fields are considered, and it is shown that the theory of Wiener–Itô...

The Right Decision: A Mathematician Reveals How the Secrets of Decision Theory
The Right Decision: A Mathematician Reveals How the Secrets of Decision Theory

CAN YOU EVER BE SURE YOU'RE MAKING THE RIGHT DECISION?

Should you stay in a comfy job with little chance of advancement-or take a riskier one in which you could make lots of money but also wind up on the street?

Should you listen to a doctor who advises surgery-or trust another who tells you to wait and see if...

Operational Risk : Modeling Analytics
Operational Risk : Modeling Analytics

Discover how to optimize business strategies from both qualitative and quantitative points of view

Operational Risk: Modeling Analytics is organized around the principle that the analysis of operational risk consists, in part, of the collection of data and the building of mathematical models to describe risk. This book is
...

Mathematics: A Discrete Introduction
Mathematics: A Discrete Introduction

Master the fundamentals of discrete mathematics and proof-writing with MATHEMATICS: A DISCRETE INTRODUCTION! With a clear presentation, the mathematics text teaches you not only how to write proofs, but how to think clearly and present cases logically beyond this course. Though it is presented from a mathematician's perspective, you will...

Advanced Digital Signal Processing and Noise Reduction
Advanced Digital Signal Processing and Noise Reduction

Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete...

Complex Analysis (Princeton Lectures in Analysis, No. 2)
Complex Analysis (Princeton Lectures in Analysis, No. 2)

With this second volume, we enter the intriguing world of complex analysis. From the first theorems on, the elegance and sweep of the results is evident. The starting point is the simple idea of extending a function initially given for real values of the argument to one that is defined when the argument is complex. From there, one proceeds to...

Optical Coding Theory with Prime
Optical Coding Theory with Prime

Although several books cover the coding theory of wireless communications and the hardware technologies and coding techniques of optical CDMA, no book has been specifically dedicated to optical coding theory—until now. Written by renowned authorities in the field, Optical Coding Theory with Prime gathers together in one...

Approximate Iterative Algorithms
Approximate Iterative Algorithms

Iterative algorithms often rely on approximate evaluation techniques, which may include statistical estimation, computer simulation or functional approximation. This volume presents methods for the study of approximate iterative algorithms, providing tools for the derivation of error bounds and convergence rates, and for the optimal design of...

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...

Advanced Engineering Mathematics
Advanced Engineering Mathematics

Through previous editions, Peter O'Neil has made rigorous engineering mathematics topics accessible to thousands of students by emphasizing visuals, numerous examples, and interesting mathematical models. Advanced Engineering Mathematics features a greater number of examples and problems and is fine-tuned throughout to improve the clear...

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