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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...

An Introduction to Bootstrap Methods with Applications to R
An Introduction to Bootstrap Methods with Applications to R
A comprehensive introduction to bootstrap methods in the R programming environment

Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the...

Implicit Objects Computer Graphics
Implicit Objects Computer Graphics
Implicit definition and description of geometric objects and surfaces plays a critical role in the appearance and manipulation of computer graphics. In addition, the mathematical definition of shapes, using an implicit form, has pivotal applications for geometric modeling, visualization and animation. Until recently, the parametric form has been...
TI-89 Graphing Calculator For Dummies
TI-89 Graphing Calculator For Dummies

Do you own a TI-89, TI-89 Titanium, TI-92 Plus, or a Voyage 200 graphing calculator? If you do, or if you need to get one for school or your job, then you need to know how it works and how to make the most of its functions. "TI-89 For Dummies" is the plain-English nuts-and-bolts guide that gets you up and running on all the things...

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...

Bayesian Time Series Models
Bayesian Time Series Models

'What's going to happen next?' Time series data hold the answers, and Bayesian methods represent the cutting edge in learning what they have to say. This ambitious book is the first unified treatment of the emerging knowledge-base in Bayesian time series techniques. Exploiting the unifying framework of probabilistic graphical...

TI-83 Plus Graphing Calculator for Dummies
TI-83 Plus Graphing Calculator for Dummies
Use this cool tool to perform dozens of tasks!

Do simple and complex calculations, analyze loans, even send files to your PC

Nothing can crunch numbers like your TI-83 Plus, and this handy guide makes the crunching easy! In no time you’ll be punching those buttons to convert decimals to fractions, find factorials, compare...

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...

Constant Mean Curvature Surfaces with Boundary (Springer Monographs in Mathematics)
Constant Mean Curvature Surfaces with Boundary (Springer Monographs in Mathematics)

The study of surfaces with constant mean curvature (CMC) is one of the main topics in classical differential geometry. Moreover, CMC surfaces are important mathematical models for the physics of interfaces in the absence of gravity, where they separate two different media or for capillary phenomena. Further, as most techniques used in the...

Radar System Performance Modeling, Second Edition
Radar System Performance Modeling, Second Edition
This book addresses the needs of system analysts for radar models and analysis
tools. It describes the basic principles of radar operation, how radar is configured
and used in military and civilian systems, and how to analyze and model radar at the
system level. The book presents and explains equations, computational methods,...
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