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This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it discusses the importance of statistical models in applied quantitative research and the central role of the likelihood function, describing likelihood-based inferen...
It is convenient to divide the theory of knowledge into three sets of problems: 1. the nature of knowledge, certainty and related notions, 2. the nature and validi ty of the sources of knowledge, and 3. answers to skeptical arguments. The first set includes questions such as: What is it to know that...
Convolution is the most important operation that describes the behavior of a linear time-invariant dynamical system. Deconvolution is the unraveling of convolution. It is the inverse problem of generating the system's input from knowledge about the system's output and dynamics. Deconvolution require...
This is the second volume of a text on the theory and practice of maximum penalized likelihood estimation. It is intended for graduate students in s- tistics, operationsresearch, andappliedmathematics, aswellasresearchers and practitioners in the ?eld. The present volume was supposed to have a short...
Wie wirken Werbung und andere Beeinflussungsversuche auf Meinungen, Einstellungen und Verhalten? Die Frage wie Persuasion „funktioniert“ bewegt die Wirtschaft wie die Sozialwissenschaft heute mehr denn je. Das Elaboration-Likelihood-Modell gehört zu den prominentesten Ansätzen der modernen Per...
It is convenient to divide the theory of knowledge into three sets of problems: 1. the nature of knowledge, certainty and related notions, 2. the nature and validi ty of the sources of knowledge, and 3. answers to skeptical arguments. The first set includes questions such as: What is it to know that...
Separation of signal from noise is the most fundamental problem in data analysis, and arises in many fields, for example, signal processing, econometrics, acturial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, and extensions to ...
Convolution is the most important operation that describes the behavior of a linear time-invariant dynamical system. Deconvolution is the unraveling of convolution. It is the inverse problem of generating the system's input from knowledge about the system's output and dynamics. Deconvolution require...
Convolution is the most important operation that describes the behavior of a linear time-invariant dynamical system. Deconvolution is the unraveling of convolution. It is the inverse problem of generating the system's input from knowledge about the system's output and dynamics. Deconvolution require...
Wie wirken Werbung und andere Beeinflussungsversuche auf Meinungen, Einstellungen und Verhalten? Die Frage wie Persuasion „funktioniert“ bewegt die Wirtschaft wie die Sozialwissenschaft heute mehr denn je. Das Elaboration-Likelihood-Modell gehört zu den prominentesten Ansätzen der modernen Per...
Das Elaboration-Likelihood-Modell gehört zu den prominentesten Ansätzen der modernen Persuasionsforschung. Der Band führt in gut lesbarer und verständlicher Weise in die Grundzüge des Modells von Petty und Cacioppo ein. Besonderes Augenmerk wird dabei auf die Perspektive von Kommunikationswisse...
It is an honor to be asked to write a foreword to this book, for I believe that it and other books to follow will eventually lead to a dramatic change in the current statistics curriculum in our universities. I spent the 1975-76 academic year at Florida State University in Tallahassee. My purpose wa...
This is the second volume of a text on the theory and practice of maximum penalized likelihood estimation. It is intended for graduate students in s- tistics, operationsresearch, andappliedmathematics, aswellasresearchers and practitioners in the ?eld. The present volume was supposed to have a short...
This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it discusses the importance of statistical models in applied quantitative research and the central role of the likelihood function, describing likelihood-based inferen...
Separation of signal from noise is the most fundamental problem in data analysis, and arises in many fields, for example, signal processing, econometrics, acturial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, and extensions to ...
It is an honor to be asked to write a foreword to this book, for I believe that it and other books to follow will eventually lead to a dramatic change in the current statistics curriculum in our universities. I spent the 1975-76 academic year at Florida State University in Tallahassee. My purpose wa...
It is convenient to divide the theory of knowledge into three sets of problems: 1. the nature of knowledge, certainty and related notions, 2. the nature and validi ty of the sources of knowledge, and 3. answers to skeptical arguments. The first set includes questions such as: What is it to know that...
This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it discusses the importance of statistical models in applied quantitative research and the central role of the likelihood function, describing likelihood-based inferen...