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Statistical models and statistical inference
1981In the previous chapter we have seen how a simple statistical model can be fitted to data by estimating the unknown parameters and then making checks with residuals. After we have done this, various questions can be answered in terms of the fitted model.
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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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Statistical Models for Fracture
1998Recent developments in statistical physics studying fracture phenomena are reviewed. A quantity of experimental interest is the breaking characteristics of the system (force vs. displacement): we discuss its universal scaling behaviour. Moreover, the distribution of local strain has multifractal scaling properties just before the system breaks fully ...
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A statistical model in palynology
Geoscience and Man, 1971Abstract The causes of areal and temporal variation in palynofloras extracted from sedimentary rocks are divided into major sources of variation and extraneous sources of variation. Major sources include: (1) Time; (2) Climate; (3) Plant succession; (4) Variations in local weather conditions; (5) Area dominated by species; (6) Distance transported; (7)
Raymond A. Christopher, George F. Hart
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2005
We will outline some of the important problems of extending the relational model for processing statistical data bases. We achieve this by augmenting to relational algebra few more numerical operations without altering the relational algebra. This algebra is referred to as statistical relational algebra.
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We will outline some of the important problems of extending the relational model for processing statistical data bases. We achieve this by augmenting to relational algebra few more numerical operations without altering the relational algebra. This algebra is referred to as statistical relational algebra.
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Statistical Model for Japanese Abbreviations
Intelligent Data Analysis, 2008We present a new approach to detect abbreviations given a root expression. The method is based on a statistical model combining two internal models: a generation and a verification model. The statistical model accounts for both the validity of abbreviations as a character sequence generated from a root (as learnt from the collection of abbreviation ...
Norifumi Murayama, Manabu Okumura
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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 of Colour Data
International Journal of Computer Vision, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Daniel C. Alexander, Bernard F. Buxton
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Statistical Performance Modeling and Optimization
Foundations and Trends® in Electronic Design Automation, 2007As IC technologies scale to finer feature sizes, it becomes increasingly difficult to control the relative process variations. The increasing fluctuations in manufacturing processes have introduced unavoidable and significant uncertainty in circuit performance; hence ensuring manufacturability has been identified as one of the top priorities of today’s
Xin Li 0001 +2 more
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‘Statistics-for’ and ‘Statistics-with’ Agent Models
2021Humankind often sees patterns where none exist (The name for this is pareidolia and it explains among other things why we see faces on the surface of the Moon and Mars, and can make out cars, cats and coffee cups among the clouds.). Statistical tests exist to overcome this and reveal true relationships among variables while quantifying their strength ...
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