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Geographically Weighted Regression

Geographical Weighted Regression (GWR) is a new local modelling technique for analysing spatial analysis. This technique allows local as;

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Spatial Analysis Methods and Practice

analysis; analyzing geographic distributions and point patterns; spatial autocorrelation; spatial clustering; geographically weighted regression;

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Spatial Analysis Methods and Practice

analysis; analyzing geographic distributions and point patterns; spatial autocorrelation; spatial clustering; geographically weighted regression;

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Robot Learning by Visual Observation

* Focuses on regression approaches, such as Gaussian mixture regression, spline regression, and locally weighted regression * Concentrates on the;

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Understanding Crime

Spatial regression analysis, including geographically weighted regression Determining crime risk, and where crime is likely to happen Performing;

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Modeling in Mathematics

and its application to energy-growth consumption problem. This book also discusses about intuitionistic fuzzy weighted linear regression model;

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Six Sigma Quality Improvement with Minitab

includes the following new material: * Pareto charts and Cause-and-Effect diagrams * Time-weighted control charts cumulative sum (CUSUM) and;

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Six Sigma

includes the following new material: * Pareto charts and Cause-and-Effect diagrams * Time-weighted control charts cumulative sum (CUSUM) and;

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Conventional and Fuzzy Regression

classic regression model, named Geographically Weighted Regression (GWR), which constitutes a spatial statistics method. The application example;

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Advances in Diffusion-Weighted Imaging, An Issue of Magnetic Resonance Imaging Clinics of North America

This issue of MRI Clinics focuses on Advances in Diffusion-weighted Imaging and is edited by Dr. Kei Yamada. Articles will include;

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Supremum & Stability of Weighted Pseudoinverses & Weighted Least Squares Problems

in the future. The monograph mainly contains the following three parts: analysis of supremum of weighted pseudoinverses, study the stability;

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Multivariate Analysis for the Behavioral Sciences, Second Edition

book covers regression methods, including simple linear regression, multiple regression, locally weighted regression, generalized linear models;

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Multivariate Analysis for the Behavioral Sciences, Second Edition

covers regression methods, including simple linear regression, multiple regression, locally weighted regression, generalized linear models;

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Categorical Data Analysis Using SAS

regression, weighted least squares modeling, repeated measurements analyses, loglinear models, generalized estimating equations, and bioassay;

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Housing Affordability by Metropolitan Area Determinant Indicators of Housing Affordability

all of these variables simultaneously through a regression equation based on US Census data. The findings indicate that housing affordability;

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Optimization Based Model Using Fuzzy and Other Statistical Techniques Towards Environmental Sustainability

concerning environmental sustainability. The examples include using fuzzy weighted multivariate regression to predict the water quality index at;

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Rankings and Preferences

This book examines in detail the correlation, more precisely the weighted correlation and applications involving rankings. A general;

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Weighted Inequalities Involving P-quasiconcave Operators

investigation of weighted inequalities on certain classes of quasiconcave functions on the interval I=(a,b) R. In this book we analyse the class Q (I;

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Univariate and Multivariate General Linear Models

. Extensions of these concepts include GLMs with heteroscedastic errors that encompass weighted least squares regression and categorical data analysis;

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Univariate and Multivariate General Linear Models

. Extensions of these concepts include GLMs with heteroscedastic errors that encompass weighted least squares regression and categorical data analysis;

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Geographic Data Mining and Knowledge Discovery

medoid computation in large spatial databases New chapter that discusses the use of geographically weighted regression as an exploratory;

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Nonlinear Potential Theory and Weighted Sobolev Spaces

The book systematically develops the nonlinear potential theory connected with the weighted Sobolev spaces, where the weight usually;

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Mathematical Methods for Oceanographers

and linear regression, correlation functions and analysis of variance, means and error bounds, nonlinear techniques and weighted least squares;

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Regression Modeling: Methods, Theory, and Computation with SAS

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques;

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Regression Modeling: Methods, Theory, and Computation with SAS

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques;

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Weighted Norm Inequalities for Integral Transforms with Product Kernals

-weighted boundedness point of view. The considered product kernels cover that case when factors of kernels have essential (less than one;

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Advanced MR Imaging in Clinical Practice, An Issue of Radiologic Clinics of North America

Weighted Imaging; Current Status of Perfusion Weighted Imaging; Non-gadolinium Enhanced MR Angiography; Pearls and Pitfalls of 3 T imaging;

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