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Statistical Modelling Using Genstat

The complete guide to statistical modelling with GENSTAT Focusing on solving practical problems and using real datasets collected;

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Applied Statistics

GENSTAT is a general purpose statistical computing system with a flexible command language operating on a variety of data structures. It;

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Applied Statistics

GENSTAT is a general purpose statistical computing system with a flexible command language operating on a variety of data structures. It;

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Statistical Methods In Biology

data in detail to illustrate the use of basic formulae for simple examples while using the GenStat (R) statistical package for more complex;

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Statistical Modelling with Quantile Functions

Functions does just that. It systematically examines the entire process of statistical modelling, starting with using the quantile function to;

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Statistical Modelling with Quantile Functions

Functions does just that. It systematically examines the entire process of statistical modelling, starting with using the quantile function to;

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Case Studies in Bayesian Statistical Modelling and Analysis

Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian;

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Statistical Modelling for Social Researchers

instruction in fitting models using SPSS and Stata, the most popular statistical computer software which is available to most social researchers;

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Statistical Modelling for Social Researchers

instruction in fitting models using SPSS and Stata, the most popular statistical computer software which is available to most social researchers;

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Multilevel Modeling Using Mplus

statistical modelling with a large multilevel modelling component. The focus is on presenting the theory and practice of major multilevel modelling;

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Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance

Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical;

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Multilevel Modeling Using Mplus

/or statistical modelling with a large multilevel modelling component. The focus is on presenting the theory and practice of major multilevel;

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Modelling Identities

This volume investigates the construction of group identity in Late La Tene South-East Europe using an innovative statistical modelling;

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Modelling Identities

This volume investigates the construction of group identity in Late La Tene South-East Europe using an innovative statistical modelling;

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In All Likelihood

Based on a course in the theory of statistics this text concentrates on what can be achieved using the likelihood/Fisherian method;

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Statistical Modelling and Analysis Techniques

Statistical Modelling and Analysis Techniques provides insights into modelling and analytic aspects of random events and discusses;

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Regression Methods for Medical Research

using more advanced statistical methods. The statistical requirements of interpreting and publishing in medical journals, together with rapid;

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Statistical Methods in Control & Signal Processing

Presenting statistical and stochastic methods for the analysis and design of technological systems in engineering and applied areas, this;

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Experiment Design and Statistical Methods For Behavioural and Social Research

Experiment Design and Statistical Methods introduces the concepts, principles, and techniques for carrying out a practical research project;

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Experiment Design and Statistical Methods For Behavioural and Social Research

Experiment Design and Statistical Methods introduces the concepts, principles, and techniques for carrying out a practical research project;

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R In Finance And Economics

This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics;

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Statistical Modelling in Higher Learning

Statistical Modelling in Higher Learning: The book explains the factors that predict the time taken to complete degree programmes.The book;

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Computer Simulation of Polymers

of: molecular modelling; molecular dynamics and Monte Carlo methods (statistical methods of modelling using random sampling). The book assumes a;

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Quantitative Modelling In Marketing And Management

need for data analysis using quantitative modelling. Problem solving using the quantitative approach and other models has always been a hot;

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Statistical Analysis And Modelling Of Spatial Point Patterns

spatial point pattern may be described using the appropriate statistical methods. Statistical Analysis and Modelling of Spatial Point Patterns;

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Data Analysis Using Hierarchical Generalized Linear Models with R

within the field and, using data examples, illustrates how to analyse various kinds of data using R. It provides a likelihood approach to;

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Data Analysis Using Hierarchical Generalized Linear Models with R

within the field and, using data examples, illustrates how to analyse various kinds of data using R. It provides a likelihood approach to;

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