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Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB
Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB
This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodology, including general latent variable...
Statistical Analysis of Financial Data in R (Springer Texts in Statistics)
Statistical Analysis of Financial Data in R (Springer Texts in Statistics)

Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some of the most challenging issues facing financial engineers. It shows how sophisticated mathematics and modern statistical techniques can...

Applied Intelligent Control of Induction Motor Drives
Applied Intelligent Control of Induction Motor Drives

Induction motors are the most important workhorses in industry. They are mostly used as constant-speed drives when fed from a voltage source of fixed frequency. Advent of advanced power electronic converters and powerful digital signal processors, however, has made possible the development of high performance, adjustable speed AC motor...

Practical Image and Video Processing Using MATLAB
Practical Image and Video Processing Using MATLAB

UP-TO-DATE, TECHNICALLY ACCURATE COVERAGE OF ESSENTIAL TOPICS IN IMAGE AND VIDEO PROCESSING

This is the first book to combine image and video processing with a practical MATLAB®-oriented approach in order to demonstrate the most important image and video techniques and algorithms. Utilizing minimal...

The Scrum Field Guide: Agile Advice for Your First Year and Beyond (2nd Edition)
The Scrum Field Guide: Agile Advice for Your First Year and Beyond (2nd Edition)

Extensively revised to reflect improved Scrum practices and tools, this edition adds an all-new section of tips from the field. 



The 1st Edition has a 5-Star Amazon Customer Rating and 135 reviews.

Thousands of organizations are adopting Scrum to
...
Markov Networks in Evolutionary Computation (Adaptation, Learning, and Optimization)
Markov Networks in Evolutionary Computation (Adaptation, Learning, and Optimization)

Markov networks and other probabilistic graphical modes have recently received an upsurge in attention from Evolutionary computation community, particularly in the area of Estimation of distribution algorithms (EDAs).  EDAs have arisen as one of the most successful experiences in the application of machine learning methods in...

Digital Control and Estimation: A Unified Approach (Prentice Hall Information and System Sciences Series)
Digital Control and Estimation: A Unified Approach (Prentice Hall Information and System Sciences Series)

Many books already exist on the topics of digital control and estimation. The prospective reader of this book might well then ask. "why another book in this area?"

One problem with the existing literature is that it emphasizes the differences between discrete and continuous theory. This dichotomy is largely
...

3D Computer Vision: Efficient Methods and Applications (X.media.publishing)
3D Computer Vision: Efficient Methods and Applications (X.media.publishing)

This book provides an introduction to the foundations of three-dimensional computer vision and describes recent contributions to the field. Geometric methods include linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of rigid, articulated, and...

Python Machine Learning Cookbook
Python Machine Learning Cookbook

100 recipes that teach you how to perform various machine learning tasks in the real world

About This Book

  • Understand which algorithms to use in a given context with the help of this exciting recipe-based guide
  • Learn about perceptrons and see how they are used to build neural...
Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building
Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building
This monograph covers theoretical aspects of simultaneous localization and map building for mobile robots, such as estimation stability, nonlinear models for the propagation of uncertainties, temporal landmark compatibility, as well as issues pertaining the coupling of control and SLAM. One of the most relevant topics covered in this monograph is...
Power Converters and AC Electrical Drives with Linear Neural Networks (Energy, Power Electronics, and Machines)
Power Converters and AC Electrical Drives with Linear Neural Networks (Energy, Power Electronics, and Machines)

The first book of its kind, Power Converters and AC Electrical Drives with Linear Neural Networks systematically explores the application of neural networks in the field of power electronics, with particular emphasis on the sensorless control of AC drives. It presents the classical theory based on space-vectors in...

Real-Time Video Compression (The International Series in Engineering and Computer Science)
Real-Time Video Compression (The International Series in Engineering and Computer Science)
Real-Time Video Compression: Techniques and Algorithms introduces the XYZ video compression technique, which operates in three dimensions, eliminating the overhead of motion estimation. First, video compression standards, MPEG and H.261/H.263, are described. They both use asymmetric compression algorithms, based on motion estimation. Their...
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