Results 241 to 250 of about 2,324,497 (297)
Some of the next articles are maybe not open access.
Statistics for a Diagnostic Model
Biometrics, 1961In recent years, several methods have been proposed for making medical diagnoses by machine (Ledley and Lusted [1959], Crumb and Rupe [1959]). A method devised by Brodman et al. [1959, 1960] has been used to program a high-speed electronic computer for making presumptive medical diagnoses using only information relating to the age, sex, and responses ...
van Woerkom, Adrianus J., Brodman, Keeve
openaire +2 more sources
On Statistical Model Validation
Journal of Dynamic Systems, Measurement, and Control, 1996In this paper we formulate a particular statistical model validation problem in which we wish to determine the probability that a certain hypothesized parametric uncertainty model is consistent with a given input-output data record. Using a Bayesian approach and ideas from the field of hypothesis testing, we show that in many cases of interest this ...
Lee, L. H., Poolla, K.
openaire +2 more sources
2019
In this chapter, we present statistical modelling approaches for predictive tasks in business and science. Most prominent is the ubiquitous multiple linear regression approach where coefficients are estimated using the ordinary least squares algorithm. There are many derivations and generalizations of that technique. In the form of logistic regression,
Dettling, Marcel, Ruckstuhl, Andreas
openaire +2 more sources
In this chapter, we present statistical modelling approaches for predictive tasks in business and science. Most prominent is the ubiquitous multiple linear regression approach where coefficients are estimated using the ordinary least squares algorithm. There are many derivations and generalizations of that technique. In the form of logistic regression,
Dettling, Marcel, Ruckstuhl, Andreas
openaire +2 more sources
2008
Statistical models provide an alternative approach to using dynamical models in seasonal climate forecasting. In statistical models relationships between one set of data, the predictors, and a second set, the predictands, are sought. Common predictands include seasonal mean temperatures and accumulated precipitation, and are typically predicted using ...
Mason, Simon J., Baddour, Omar
openaire +1 more source
Statistical models provide an alternative approach to using dynamical models in seasonal climate forecasting. In statistical models relationships between one set of data, the predictors, and a second set, the predictands, are sought. Common predictands include seasonal mean temperatures and accumulated precipitation, and are typically predicted using ...
Mason, Simon J., Baddour, Omar
openaire +1 more source
Statistical models and thermalization
Nuclear Physics B - Proceedings Supplements, 2003Abstract The status of thermodynamical is discussed. This approach is quiet popular in the heavy ion collision physics. It is argued that the “principle of vanishing of correlations” must be used for quantitative estimations of the rate of thermalization.
J. Manjavidze, A. Sissakian
openaire +1 more source
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.
openaire +1 more source
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.
openaire +2 more sources
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
openaire +1 more source
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 ...
openaire +3 more sources
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.
openaire +1 more source
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.
openaire +1 more source