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An N Enquiry Into Linear Conflict Models

-Daten nachzuweisen versuchen. Es zeigt sich, dass die linearen dynamischen Modelle bestimmte Phasen von Konflikten gut abbilden, wodurch sich;

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Non-Gaussian Autoregressive-Type Time Series

-series models into different groups such as linear stationary models with non-Gaussian innovations, linear stationary models with non-Gaussian;

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An Introduction to Generalized Additive Models with R

Generalized Additive Models: An Introduction with R imparts a thorough understanding of the theory and practical applications of GAMs and;

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A First Course in Linear Model Theory

Thoroughly updated throughout, A First Course in Linear Model Theory, Second Edition is an intermediate-level statistics text that fills an;

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Nonlinear Models in Mathematical Finance

This book provides an overview on the current state-of-the-art research on non-linear option pricing. Non-linear models are becoming more;

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Generalized Additive Models

the necessary background in linear models, linear mixed models, and generalized linear models (GLMs), before presenting a balanced treatment;

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Linear Model Methodology

linear models, which represent an extension of classical linear models. Linear models provide the groundwork for analysis of variance;

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Linear Models

An insightful approach to the analysis of variance in the study of linear models Linear Models explores the theory of linear models and the;

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Foundations of Linear and Generalized Linear Models

data. Focusing on the theoretical underpinnings of these models, Foundations ofLinear and Generalized Linear Models also features: * An;

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Regression Analysis and Linear Models

independent variables. It is used in forecasting and prediction. The models used to understand and build relationships, using the linear predictor;

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Linear and Generalized Linear Mixed Models and Their Applications

This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models. It presents an up-to;

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Linear and Generalized Linear Mixed Models and Their Applications

This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models. It presents an up-to;

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Collective Identities In Action

criticize existing rational choice paradigms, arguing that we will only understand ethnic conflict through an enquiry into the links between micro;

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A Primer on Linear Models

introduces the basic algebra and geometry of the linear least squares problem, before delving into estimability and the Gauss Markov model. After;

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A Primer on Linear Models

introduces the basic algebra and geometry of the linear least squares problem, before delving into estimability and the Gauss-Markov model. After;

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Generalized Linear Mixed Models

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the;

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Linear Algebra

The book is an introduction to linear algebra intended as a textbook for the first course in linear algebra. In the first six chapters we;

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Linear Algebra

The book is an introduction to linear algebra intended as a textbook for the first course in linear algebra. In the first six chapters we;

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How to Solve Large Linear Systems

Solving the linear equation system n x n can also be a problem for a computer, even when the number of equations and unknowns is relatively;

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Linear Models in Statistics

The essential introduction to the theory and application of linear models-now in a valuable new edition Since most advanced statistical;

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Statistical Tests for Mixed Linear Models

An advanced discussion of linear models with mixed or random effects. In recent years a breakthrough has occurred in our ability to draw;

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Methods And Applications Of Linear Models

material An ideal book for courses on linear models and linear regression at the undergraduate and graduate levels, the Third Edition of Methods;

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Matrix Algebra for Linear Models

Linear Models is an ideal textbook for advanced undergraduate and graduate-level courses on statistics, matrices, and linear algebra. The book;

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Identification of Continuous-Time Systems

provide an overview of CT system identification, consider Markov-parameter models and time-moment models as simple linear-in-parameters;

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An Introduction to Generalized Linear Models

Continuing to emphasize numerical and graphical methods, An Introduction to Generalized Linear Models, Third Edition provides a cohesive;

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Partially Linear Models

In the last ten years, there has been increasing interest and activity in the general area of partially linear regression smoothing;

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Linear Model Theory

A precise and accessible presentation of linear model theory, illustrated with data examples Statisticians often use linear models for data;

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