provides a clear and straightforward guide for all those seeking to conduct quantitative research in the field of education, ...
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Presents some recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components ...
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The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full ...
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The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full ...
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This introduction to visualization techniques and statistical models for second language research focuses on three types ...
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Dealing with Uncertainties proposes and explains a new approach for the analysis of uncertainties. Firstly, it is shown that ...
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Discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware ...
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Mechatronic design processes have become shorter and more parallelized, induced by growing time-to-market pressure. Methods ...
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This book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
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This book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
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This is an advanced expository book on statistical methods for the Design and Analysis of Simulation Experiments (DASE). ...
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This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the ...
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This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the ...
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The book provides graduate students and researchers with an up-to-date survey of statistical and econometric techniques for ...
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This textbook teaches some of the basic econometric methods and the underlying assumptions behind them. It also includes ...
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Stefan M. Wagner analyses problems associated with institutional changes (duration of patent examination and opposition mechanisms), ...
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This book provides a full presentation of the current concepts and available techniques to make “machine learning” systems ...
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This book presents methodologies for the Bayesian estimation of GARCH models and their application to financial risk management. ...
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The prominence of finite mixture modelling is greater than ever. Many important statistical topics like clustering data, ...
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The prominence of finite mixture modelling is greater than ever. Many important statistical topics like clustering data, ...
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