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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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Statistical Foundations of Econometric Modelling

is on the concepts and ideas underlying probability theory and statistical inference, and on motivating the learning of them both at a formal;

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Machine Learning for Knowledge Discovery with R

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction;

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Integrated Uncertainty in Knowledge Modelling and Decision Making

and decision support; econometrics; machine learning; machine learning applications; and statistical methods.;

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Integrated Uncertainty in Knowledge Modelling and Decision Making

uncertainty management and decision support; machine learning; machine learning applications; econometric applications; and statistical methods;

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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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Statistical Modelling and Machine Learning Principles for Bioinformatics Techniq

This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas;

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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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Open Distance Learning

Covers research on ODL systems, competence-based learning, the project process based on personal and group competencies, knowledge;

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Statistical Modelling with Quantile Functions

, however, no one put all the ideas together to form what turns out to be a general approach to statistics. Statistical Modelling with Quantile;

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Statistical Modelling with Quantile Functions

, however, no one put all the ideas together to form what turns out to be a general approach to statistics. Statistical Modelling with Quantile;

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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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Statistical Modelling of Molecular Descriptors in QSAR/QSPR

This handbook and ready reference presents a combination of statistical, information-theoretic, and data analysis methods to meet the;

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An Introduction to Statistical Modelling

a vital part in all applications of statistics and is a component of most undergraduate programmes. 'An Introduction to Statistical;

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On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling

A natural evolution of statistical signal processing, in connection with the progressive increase in computational power, has been;

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Machine Learning Theoretical Foundations and Practical Applications

in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network;

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Statistical Modelling for Social Researchers

This book explains the principles and theory of statistical modelling in an intelligible way for the non-mathematical social scientist;

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Statistical Modelling for Social Researchers

This book explains the principles and theory of statistical modelling in an intelligible way for the non-mathematical social scientist;

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Use of Statistical Modelling of Malaria outcome in Ethiopia

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Understanding Student Learning

First published in 1983, Understanding Student Learning provides an in-depth analysis of students' learning methods in higher education, at;

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Statistical Modelling in Biostatistics and Bioinformatics

This book presents selected papers on statistical model development related mainly to the fields of Biostatistics and Bioinformatics. The;

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Statistical Modelling in Biostatistics and Bioinformatics

This book presents selected papers on statistical model development related mainly to the fields of Biostatistics and Bioinformatics. The;

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Understanding Student Learning (Routledge Revivals)

First published in 1983, Understanding Student Learning provides an in-depth analysis of students' learning methods in higher education, at;

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Operational Risk Modeling in Financial Services

Transform your approach to oprisk modelling with a proven, non-statistical methodology Operational Risk Modeling in Financial Services;

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Applied Bayesian Modelling

is the follow-up to the author's best selling book, Bayesian Statistical Modelling, and focuses on the potential applications of Bayesian;

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Statistical Analysis and Stochastic Modelling of Hydrological Extremes

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Introduction to Statistical Modelling

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