Learn IT - Books tags parametric

Advanced Statistics Demystified

McGraw-Hill, 2004

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 --...

Fusion 360 for Makers: Design Your Own Digital Models for 3D Printing and CNC Fabrication

Maker Media, Inc, 2018

Learn how to use Autodesk Fusion 360 to digitally model your own original projects for a 3D printer or a CNC device. Fusion 360 software lets you design, analyze, and print your ideas. Free to students and small businesses alike, it offers solid, surface, organic, direct, and parametric modeling capabilities.

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Nonparametric Tests for Censored Data

John Wiley & Sons, 2011

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)

John Wiley & Sons, 2006

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)

Springer, 2014

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)

Springer, 2013

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

Artech House Publishers, 2004

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,...

An Introduction to Parametric Digital Filters and Oscillators

John Wiley & Sons, 2003

Since the 1960s Digital Signal Processing (DSP) has been one of the most intensive fields of study in electronics. However, little has been produced specifically on linear non-adaptive time-variant digital filters.

The first book to be dedicated to Time-Variant Filtering

Provides a complete...

Fundamentals of Parameterized Complexity (Texts in Computer Science)

Springer, 2013

This comprehensive and self-contained textbook presents an accessible overview of the state of the art of multivariate algorithmics and complexity. Increasingly, multivariate algorithmics is having significant practical impact in many application domains, with even more developments on the horizon. The text describes how the multivariate...

MATLAB Linear Algebra

Apress, 2014

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...

Nonparametric System Identification

Cambridge University Press, 2008

Presenting a thorough overview of the theoretical foundations of non-parametric system identification for nonlinear block-oriented systems, this books shows that non-parametric regression can be successfully applied to system identification, and it highlights the achievements in doing so. With emphasis on Hammerstein, Wiener systems, and their...

Six Sigma and Beyond: Statistics and Probability, Volume III

CRC Press, 2002

This text explains the tools of statistics and how to apply them effectively to improve processes and profitability in an organization, and also delineates the importance of collecting, analyzing, and interpreting data.

Researchers and professionals in all walks of life need to use the many tools offered by the statistical world, but...

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