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Introduction to the Mathematical and Statistical Foundations of Econometrics (Themes in Modern Econometrics)
Introduction to the Mathematical and Statistical Foundations of Econometrics (Themes in Modern Econometrics)

This book is intended for use in a rigorous introductory PhD level course in econometrics, or in a field course in econometric theory. It covers the measure-theoretical foundation of probability theory, the multivariate normal distribution with its application to classical linear regression analysis, various laws of large numbers, central limit...

Multi-Sensor Data Fusion with MATLAB®
Multi-Sensor Data Fusion with MATLAB®

Using MATLAB® examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF...

Information Theory and Statistics: A Tutorial
Information Theory and Statistics: A Tutorial
Information Theory and Statistics: A Tutorial is concerned with applications of information theory concepts in statistics, in the finite alphabet setting. The topics covered include large deviations, hypothesis testing, maximum likelihood estimation in exponential families, analysis of contingency tables, and iterative algorithms with an...
Practical Big Data Analytics: Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
Practical Big Data Analytics: Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R

Get command of your organizational Big Data using the power of data science and analytics

Key Features

  • A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions
  • Work with the best tools such as Apache...
Representation and Inference for Natural Language: A First Course in Computational Semantics
Representation and Inference for Natural Language: A First Course in Computational Semantics

This book developed out of courses on computational semantics that the authors jointly taught at the Department of Computational Linguistics, University of the Saarland, Saarbrucken, Germany, in 1995 and 1998, and at ESSLLI'97, the 9th European Summer School in Logic, Language and Information, Aix-en-Provence, France, in...

Functional Programming: A PragPub Anthology: Exploring Clojure, Elixir, Haskell, Scala, and Swift
Functional Programming: A PragPub Anthology: Exploring Clojure, Elixir, Haskell, Scala, and Swift

Explore functional programming and discover new ways of thinking about code. You know you need to master functional programming, but learning one functional language is only the start. In this book, through articles drawn from PragPub magazine and articles written specifically for this book, you'll explore functional...

E-Librarian Service: User-Friendly Semantic Search in Digital Libraries (X.media.publishing)
E-Librarian Service: User-Friendly Semantic Search in Digital Libraries (X.media.publishing)

The key to understanding the breathtaking development of mankind lies in the ability to objectify knowledge. Just like human knowledge has undergone changes, so have the libraries in their role as treasure chambers of said knowledge. With the advent of the digital age, traditional libraries were complemented by huge collections of digital...

Artificial Psychology: Psychological Modeling and Testing of AI Systems
Artificial Psychology: Psychological Modeling and Testing of AI Systems
This book explores the subject of artificial psychology and how the field must adapt human neuro-psychological testing techniques to provide adequate cognitive testing of advanced artificial intelligence systems. It shows how classical testing methods will reveal nothing about the cognitive nature of the systems and whether they are...
Bayesian Computation with R (Use R)
Bayesian Computation with R (Use R)
The book is a concise presentation of a wide range of Bayesian inferential problems and the computational methods to solve them. The detailed and thorough presentation style, with complete R code for the examples, makes it a welcome companion to a theoretical text on Bayesian inference.... Smart students of statistics will want to have both R and...
Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems)
Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems)
Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing concerns that personal data may be used for a variety of intrusive or malicious purposes.

Privacy-Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the...

SAS for Data Analysis: Intermediate Statistical Methods (Statistics and Computing)
SAS for Data Analysis: Intermediate Statistical Methods (Statistics and Computing)
This book is intended for use as the textbook in a second course in applied statistics that covers topics in multiple regression and analysis of variance at an intermediate level. Generally, students enrolled in such courses are primarily graduate majors or advanced undergraduate students from a variety of disciplines. These students typically have...
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...

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