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Mathematical Statistics --- Mathematics --- Physical Sciences & Mathematics --- Regression analysis. --- Robust statistics. --- Statistics, Robust --- Distribution (Probability theory) --- Mathematical statistics --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling
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"Spatial Regression Analysis Using Eigenvector Spatial Filtering provides both theoretical foundations and guidance on practical implementation for the eigenvector spatial filtering (ESF) technique. ESF is a novel and powerful spatial statistical methodology that allows spatial scientists to account for spatial autocorrelation in georeferenced data analyses. With its flexible structure, ESF can be easily applied to generalized linear regression models. The book discusses ESF specifications for various intermediate-level topics, including spatially varying coefficients models, (non) linear mixed models, local spatial autocorrelation, and spatial interaction models. In addition, it provides a tutorial for ESF model specification and interfaces, including author developed, user-friendly software"--
Spatial analysis (Statistics) --- Regression analysis. --- Eigenvectors. --- Matrices --- Vector spaces --- Eigenfactor --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Analysis, Spatial (Statistics) --- Correlation (Statistics) --- Spatial systems
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Das Buch vereinigt die zahlreichen Ansätze zur Erklärung einer Menge von Variablen mittels einer anderen Variablenmenge. Die Ansätze werden in ihren Grundstrukturen dargestellt. Die Beschränkung darauf ist notwendig, gibt es doch zu jeder der vorgestellten Methoden eigene Monographien. Auf diese Spezialliteratur wird für weitergehende Aspekte verwiesen. Die zahlreichen Beispiele werden mit der freien statistischen Programmierumgebung R durchgerechnet; dazu wird der R-Code angegeben. Die überwältigende Anzahl von Funktionen in R erlaubt es, die Vielfalt der hier besprochenen Methoden mit R allein und ohne Programmierung umzusetzen. So sind nicht zu komplexe Auswertungen auf der Basis dieses Textes leicht möglich.
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Quantitative methods (economics) --- Regression analysis. --- Economics --- Economic statistics --- Econometrics --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Statistical methods.
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The purpose of this book is to introduce the reader to mechanisms useful for detection and avoidance of money-laundering activities (MLAs) and terrorist financing and suggest improvements to existing MLAs where appropriate. Money laundering may occur in every country. The significant factor is to diagnose the illegal MLA and apply regulations to mitigate them. To meet this objective, managers of financial institutions need to train their employees about anti-money laundering (AML) processes and how to diagnose and prevent money laundering. AML activities can also affect the financial systems of a country. "Money laundering destabilizes the foundation of a nation's financial system by reducing tax revenues and impeding fair competition by ultimately disrupting economic development" (World Compliance, 2008). MLAs can create a big gap between income classes. Money laundering can also decrease banks' or financial institutions' credibility. "In practice, criminals are trying to disguise the origins of money obtained through illegal activities so that it looks like it was obtained from legal sources" (Layton, 2005). This book may be of special interest to financial managers in the private and public sector. It also may be a useful guide for those involved in international financial transactions.
Money laundering. --- Terrorism --- Finance. --- logistic regression --- model building --- model diagnostics --- multiple regression --- regression model --- simple linear regression --- statistical inference --- time series regression
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Quantitative methods in social research --- Mathematical statistics --- Regression Analysis. --- 519.234 --- Regression analysis --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Non-parametric methods --- Regression analysis. --- 519.234 Non-parametric methods --- Statistique mathematique --- Regression
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The second edition of Understanding Regression Analysis: An Introductory Guide presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style. From back cover.
Mathematical statistics --- #SBIB:303H520 --- Regression analysis. --- Analysis, Regression --- Linear regression --- Regression modeling --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Multivariate analysis --- Structural equation modeling --- Regression Analysis. --- Regression analysis
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Distribution (Probability theory) --- Regression analysis. --- Mathematical statistics. --- Regression analysis --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Distribution functions --- Frequency distribution --- Characteristic functions --- Statistical methods
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Mathematical statistics --- #SBIB:303H522 --- #SBIB:303H523 --- #SBIB:303H10 --- Regression analysis. --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Methoden sociale wetenschappen: handboeken statistische analyse --- Methoden sociale wetenschappen: associatie, correlatie --- Methoden en technieken: algemene handboeken en reeksen --- Regression Analysis --- Regression analysis
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Regression and the Moore-Penrose pseudoinverse
Matrix inversion. --- Regression analysis. --- Regression analysis --- Matrix inversion --- Mathematical Statistics --- Mathematics --- Physical Sciences & Mathematics --- Analysis, Regression --- Linear regression --- Regression modeling --- Inverse matrices --- Inverse of a matrix --- Inversion, Matrix --- Multivariate analysis --- Structural equation modeling --- Linear operators --- Matrices --- Generalized inverses --- #WWIS:STAT --- 519.233 --- 519.233 Parametric methods --- Parametric methods --- Pseudoinverses --- Pseudo-inverses. --- Analyse de régression --- Inversion --- ELSEVIER-B EPUB-LIV-FT --- Regression Analysis
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