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2018
“Why do I need to take statistics?” Every semester that I teach statistics I have students asking this question. It's a fair question to ask. Most of my students want to work as therapists, social workers, psychologists, anthropologists, sociologists, teachers, or in other jobs that seem far removed from formulas and numbers.
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“Why do I need to take statistics?” Every semester that I teach statistics I have students asking this question. It's a fair question to ask. Most of my students want to work as therapists, social workers, psychologists, anthropologists, sociologists, teachers, or in other jobs that seem far removed from formulas and numbers.
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Statistics for Model Calibration
2015Mathematical models of dynamic processes contain parameters which have to be estimated based on time-resolved experimental data. This task is often approached by optimization of a suitably chosen objective function. Maximization of the likelihood, i.e.
Kreutz, Clemens +2 more
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Statistical Modeling for Management
2008Measurement Scales Modeling Continuous Data Modeling Dichotomous Data Modeling Ordered Data Modeling Unordered Data Neural Networks Approximate Algorithms for Management Problems Other Statistical, Mathematical and Co-pattern Modeling ...
Hutcheson, G., Moutinho, L.
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1984
We adopt the following formulation of the structural form of the dynamic linear simultaneous equation model: $$ XA = \tilde YB + Z\Gamma = \tilde U $$ (1.1)
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We adopt the following formulation of the structural form of the dynamic linear simultaneous equation model: $$ XA = \tilde YB + Z\Gamma = \tilde U $$ (1.1)
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Statistical Models and Methods for Lifetime Data
Technometrics, 2003Gordon Johnston
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Cybernetics, 1988
We consider a class of random functions describing the statistical dependence between the number of trials and the number of different events that occur in these trials. Dependences of this kind are relevant not only in biology, but also in information science, linguistics, library science, and engineering.
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We consider a class of random functions describing the statistical dependence between the number of trials and the number of different events that occur in these trials. Dependences of this kind are relevant not only in biology, but also in information science, linguistics, library science, and engineering.
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1997
Digital image processing can be regarded as a subarea of digital signal processing. As such, all the methods for taking and analyzing measurements and their errors can also be applied to image processing. In particular, any measurement we take from images — e.g., the size or the position of an object or its mean gray value — are only useful if we can ...
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Digital image processing can be regarded as a subarea of digital signal processing. As such, all the methods for taking and analyzing measurements and their errors can also be applied to image processing. In particular, any measurement we take from images — e.g., the size or the position of an object or its mean gray value — are only useful if we can ...
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Statistical Modelling Techniques
Biometrics, 1982A. J. Gross, Paul Davies, S. S. Shapiro
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