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The first book to discuss robust aspects of nonlinear regression-with applications using R software Robust Nonlinear Regression: with;
Vergelijkbare producten zoals Robust Nonlinear Regression
Robust Regression: Analysis and Applications characterizes robust estimators in terms of how much they weigh. Each observation discusses;
Vergelijkbare producten zoals Robust Regression
The focus of this dissertation is on robust regression and classification in genetic association studies. In the context of robust;
Vergelijkbare producten zoals Algorithms for Regression and Classification
series of learning problems, including (i) distributionally robust linear regression; (ii) distributionally robust regression with group;
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representing noisy sounds with short-time sinusoids, robust Bayesian regularized estimation based on regression model and robust quadratic regression;
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types of scale estimates, asymptotic minimax theory, regression, robust covariance, and robust design. In addition to an extended treatment;
Vergelijkbare producten zoals Robust Statistics
results of the last decade included in this 2nd edition include: fast deterministic robust regression, finite-sample robustness, robust;
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methods. It covers nonparametric regression, logistic regression (including Poisson regression), Bayesian regression, robust regression, fuzzy;
Vergelijkbare producten zoals Regression Modeling: Methods, Theory, and Computation with SAS
methods. It covers nonparametric regression, logistic regression (including Poisson regression), Bayesian regression, robust regression, fuzzy;
Vergelijkbare producten zoals Regression Modeling: Methods, Theory, and Computation with SAS
included to support comprehension and practice. Includes the latest developments in robust regression Provides many new, improved;
Vergelijkbare producten zoals Introduction to Robust Estimation and Hypothesis Testing
-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used;
Vergelijkbare producten zoals Introduction to Robust Estimation and Hypothesis Testing
wavelets) and semiparametric regression models, and quasi-likelihood and robust regression models. Information-based model selection criteria are;
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This Fourth Edition includes new sections on graphs, robust estimation, expected value and the bootstrap, in addition to new material on;
Vergelijkbare producten zoals Introductory Statistics for Business and Economics
. * Covers regression methods for data mining applications. * Includes examples with real data and applications using the S-Plus robust statistics;
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the research in high-breakdown affine equivariant estimators and includes an extensive bibliography in robust regression, outlier diagnostics;
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This Fourth Edition includes new sections on graphs, robust estimation, expected value and the bootstrap, in addition to new material on;
Vergelijkbare producten zoals Student Workbook to accompany Introductory Statistics for Business and Economics 4e and Introductory Statistics 5e
. Topics covered include advanced robust methods for complex-valued data, robust covariance estimation, penalized regression models, dependent data;
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chapters on multicollinearity, generalized linear models, mixture ingredients, geometry of regression, robust regression, and resampling procedures;
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theory is given. The text develops among the first practical robust regression and robust multivariate location and dispersion estimators backed;
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of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression. The book now includes a new chapter on the;
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analysis. The book provides a unique treatment of fundamental regression methods, such as diagnostics, transformations, robust regression, and;
Vergelijkbare producten zoals Solutions Manual to accompany Modern Regression Methods, 2e
> Extensive revisions to cover the latest developments in robust regression Covers latest improvements in ANOVA Includes;
Vergelijkbare producten zoals Introduction to Robust Estimation and Hypothesis Testing
on rank Robust statistics is an important field in contemporary mathematics and applied statistical methods. Rank-Based Methods for;
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literature) to support the theoretical discussion. Emphasizes the regression model, including nonlinear and multiple regression. Topics covered;
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only a single dependent variable, ranging from classical and robust location descriptive statistics, through effect sizes, and on through ANOVA;
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parametric survival model. A new emphasis is given to the robust analysis of continuous dependent variables using ordinal regression. As in the;
Vergelijkbare producten zoals Regression Modeling Strategies
parametric survival model. A new emphasis is given to the robust analysis of continuous dependent variables using ordinal regression. As in the;
Vergelijkbare producten zoals Regression Modeling Strategies
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