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Statistics: Principles and Methods (Probability & Mathematical Statistics)
Statistics: Principles and Methods (Probability & Mathematical Statistics)

Covers all the basic concepts of statistics--descriptive study of data, probability, sampling variation, statistical inference, and special techniques for handling data--and illustrates them with practical examples that stimulate students' appreciation of the subject. Pays careful attention to the role of assumptions so that readers can...

Quotient Space Based Problem Solving: A Theoretical Foundation of Granular Computing
Quotient Space Based Problem Solving: A Theoretical Foundation of Granular Computing
The term problem solving is used in many disciplines, sometimes with different perspectives. As one of the important topics in artificial intelligence (AI) research, it is a computerized process of human problem-solving behaviors. So the aim of problem solving is to develop techniques that program computers to find solutions...
Canon EOS 70D
Canon EOS 70D

The logic for determining the significance of model numbers for the various Canon DSLR models can appear nonexistent. By inference, we've concluded that the EOS ID series—with its various alphabetic suffixes and Mark qualifiers—is the top-of-the-line professional DSLR body. Other single-digit D- series DSLR bodies are...

Artificial Organic Networks: Artificial Intelligence Based on Carbon Networks
Artificial Organic Networks: Artificial Intelligence Based on Carbon Networks

This monograph describes the synthesis and use of biologically-inspired artificial hydrocarbon networks (AHNs) for approximation models associated with machine learning and a novel computational algorithm with which to exploit them. The reader is first introduced to various kinds of algorithms designed to deal with approximation problems and...

The Book of F#: Breaking Free with Managed Functional Programming
The Book of F#: Breaking Free with Managed Functional Programming

F# brings the power of functional-first programming to the .NET Framework, a platform for developing software in the Microsoft Windows ecosystem. If you're a traditional .NET developer used to C# and Visual Basic, discovering F# will be a revelation that will change how you code, and how you think about coding.

In...

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...

Mechanical Logic in Three-Dimensional Space
Mechanical Logic in Three-Dimensional Space

The book explores how build a mechanical inferences by making use of arithmetic operations on a string of numbers representing statements. In this way logic is reduced to a branch of the combinatory calculus. It covers the field of traditional logic by showing that any kind of inference can be mechanically reduced to three-variables and...

Regression Analysis: Statistical Modeling of a Response Variable
Regression Analysis: Statistical Modeling of a Response Variable
The objective of Regression Analysis: Statistical Modeling of a Response Variable, Second Edition, is to provide tools necessary for using the modeling approach for the intelligent statistical analysis of a response variable. Although there is strong emphasis on regression analysis, there is coverage of other linear models such...
Think Stats
Think Stats

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.

By working with a single case study throughout this...

Fuzzy Relational Calculus: Theory, Applications And Software (Advances in Fuzzy Systems)
Fuzzy Relational Calculus: Theory, Applications And Software (Advances in Fuzzy Systems)

This book examines fuzzy relational calculus theory with applications in various engineering subjects. The scope of the text covers unified and exact methods with algorithms for direct and inverse problem resolution in fuzzy relational calculus. Extensive engineering applications of fuzzy relation compositions and fuzzy linear systems...

Random Matrix Methods for Wireless Communications
Random Matrix Methods for Wireless Communications

Blending theoretical results with practical applications, this book provides an introduction to random matrix theory and shows how it can be used to tackle a variety of problems in wireless communications. The Stieltjes transform method, free probability theory, combinatoric approaches, deterministic equivalents and spectral analysis methods...

Doing Data Science: Straight Talk from the Frontline
Doing Data Science: Straight Talk from the Frontline

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to...

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