Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Kernel Smoothing: Principles, Methods and Applications
Kernel Smoothing: Principles, Methods and Applications

Comprehensive theoretical overview of kernel smoothing methods with motivating examples

Kernel smoothing is a flexible nonparametric curve estimation method that is applicable when parametric descriptions of the data are not sufficiently adequate. This book explores theory and methods of kernel smoothing in a variety of...

MATLAB Linear Algebra
MATLAB Linear Algebra

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

Numerical Methods for Image Registration (Numerical Mathematics and Scientific Computation)
Numerical Methods for Image Registration (Numerical Mathematics and Scientific Computation)

Based on the author's lecture notes and research, this well-illustrated and comprehensive text is one of the first to provide an introduction to image registration with particular emphasis on numerical methods in medical imaging. Ideal for researchers in industry and academia, it is also a suitable study guide for graduate mathematicians,...

Spatial Audio Processing: MPEG Surround and Other Applications
Spatial Audio Processing: MPEG Surround and Other Applications

This book collects a wealth of information about spatial audio coding into one comprehensible volume. It is a thorough reference to the 3GPP and MPEG Parametric Stereo standards and the MPEG Surround multi-channel audio coding standard. It describes key developments in coding techniques, which is an important factor in the optimization of...

Pre-Calculus Know-It-ALL (Know It All)
Pre-Calculus Know-It-ALL (Know It All)

Master pre-calculus from the comfort of home!

Want to "know it ALL" when it comes to pre-calculus? This book gives you the expert, one-on-one instruction you need, whether you're new to pre-calculus or you're looking to ramp up your skills. Providing easy-to-understand concepts and thoroughly...

Implicit Curves and Surfaces: Mathematics, Data Structures and Algorithms
Implicit Curves and Surfaces: Mathematics, Data Structures and Algorithms

Implicit objects have gained increasing importance in geometric modeling, visualisation, animation, and computer graphics, because their geometric properties provide a good alternative to traditional parametric objects. This book presents the mathematics, computational methods and data structures, as well as the algorithms needed to render...

Advanced Statistics Demystified
Advanced Statistics Demystified

TAKE THE "MEAN" OUT OF ADVANCED STATISTICS

Now anyone who has mastered basic statistics can easily take the next step up. In Advanced Statistics Demystified, experienced statistics instructor Larry J. Stephens provides an effective, anxiety-soothing, and totally painless way to learn advanced statistics --...

MATLAB Mathematical Analysis
MATLAB Mathematical Analysis

MATLAB Mathematical Analysis is a reference book that presents the techniques of mathematical analysis through examples and exercises resolved with MATLAB software. The purpose is to give you examples of the mathematical analysis functions offered by MATLAB so that you can use them in your daily work regardless of the application....

Calculus Volume 3 by OpenStax
Calculus Volume 3 by OpenStax

This is the most affordable printed OpenStax book available. As an OpenStax Partner we print all OpenStax textbooks with a unique soft cover and B&W interior pages. The textbook s content is exactly the same as the OpenStax book (Digital ISBN-13: 978-1-947172-16-6 and Hardcover Print ISBN-13: 978-1-938168-07-9). This textbook is available...

Nonparametric Tests for Censored Data
Nonparametric Tests for Censored Data

This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and truncated data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying most...

Robust Statistics: Theory and Methods (Probability and Statistics)
Robust Statistics: Theory and Methods (Probability and Statistics)
Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into account these deviations while estimating the parameters of parametric models, thus increasing the accuracy of the inference. Research into robust methods is flourishing, with new methods being developed and...
Post-Optimal Analysis in Linear Semi-Infinite Optimization (SpringerBriefs in Optimization)
Post-Optimal Analysis in Linear Semi-Infinite Optimization (SpringerBriefs in Optimization)

Post-Optimal Analysis in Linear Semi-Infinite Optimization examines the following topics in regards to linear semi-infinite optimization: modeling uncertainty, qualitative stability analysis, quantitative stability analysis and sensitivity analysis. Linear semi-infinite optimization (LSIO) deals with linear optimization...

Result Page: 7 6 5 4 3 2 1 
©2018 LearnIT (support@pdfchm.net) - Privacy Policy