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Smoothing Splines

regression, and semiparametric mixed-effects models. It also presents methods for model selection and inference. The book provides unified;

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Smoothing Splines

regression, and semiparametric mixed-effects models. It also presents methods for model selection and inference. The book provides unified frameworks;

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Spline Models for Observational Data

for the estimation of functions from noisy data on functionals. The simplest example is the estimation of a smooth curve, given noisy;

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Spline Regression Models

Spline Regression Models shows the nuts-and-bolts of using dummy variables to formulate and estimate various spline regression models. For;

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Quantitative Medical Data Analysis Using Mathematical Tools And Statistical Techniques

biomedical sciences. Topics include mathematical models for cancer invasion and clinical sciences, data mining techniques and subset selection;

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Nonparametric Regression Methods For Longitudinal Data Analysis

nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling;

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Advanced Methods for Geometric Modeling and Numerical Simulation

well as various aspects of isogeometric methods, e.g. efficient quadrature rules and spectral analysis for isogeometric B-spline;

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Statistical Models

theory and practice, intended for advanced undergraduate and graduate students, researchers and practitioners. Its breadth is unrivaled, with;

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Statistical Models

theory and practice, intended for advanced undergraduate and graduate students, researchers and practitioners. Its breadth is unrivaled, with;

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Multistate Models for the Analysis of Life History Data

Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis;

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Multistate Models for the Analysis of Life History Data

Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis;

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Fundamental Stellar Properties

interiors. The emphasis was on the critical assessment of the quality, accuracy, and prospects for improvement of the observational data and;

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Statistical Methods for Drug Safety

selection bias in the analysis of large-scale longitudinal observational data. Choose the Right Statistical Approach for Analyzing Your Drug Safety;

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Statistical Methods for Drug Safety

selection bias in the analysis of large-scale longitudinal observational data. Choose the Right Statistical Approach for Analyzing Your Drug;

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Functional Data Analysis with R and MATLAB

as spline basis functions, data smoothing, curve registration, functional linear models and dynamic systems Functional data analysis is put;

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Modelling Mortality with Actuarial Applications

Actuaries have access to a wealth of individual data in pension and insurance portfolios, but rarely use its full potential. This book will;

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Data Assimilation

the design of observational data for assimilation.;

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Probability Theory and Statistical Inference

is to establish the framework for the empirical modelling of observational (non-experimental) data. This framework known as 'Probabilistic;

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Doing Ethnographic and Observational Research

Ethnographic and Observational Research introduces the reader to the practice of producing data through ethnographic fieldwork and observational;

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Observational Studies in a Learning Health System

regulators - explored leading edge approaches to observational studies, charted a course for the use of the growing health data utility, and;

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Splines And Compartment Models

serve as examples for context related to modeling. The preconditions and characteristics of the developed mathematical models as well as the;

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Spline and Spline Wavelet Methods with Applications to Signal and Image Processing: Volume II

books provide a universal toolbox accompanied by MATLAB software for manipulating polynomial and discrete splines, spline-based wavelets;

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Spline Collocation Methods for Partial Differential Equations

A comprehensive approach to numerical partial differential equations Spline Collocation Methods for Partial Differential Equations combines;

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Handbook of Splines

The numerous publications on spline theory during recent decades show the importance of its developm;...

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Observational Calculi and Association Rules

. Overall, the book is a valuable source of information for researchers as well as for teachers and students interested in data mining.;

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Fundamentals Of Nuclear Models

foundations. It shows the relationships between the models and exhibits the value of following the strategy of: looking for patterns in all the data;

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Handbook of Splines

of the book is also to provide new ma terial on spline function theory, as well as a fresh look at old results, being written for people;

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