Results 291 to 300 of about 26,575,973 (337)
Early prediction of the outbreak risk of dengue fever in Ba Ria-Vung Tau province, Vietnam: An analysis based on Google trends and statistical models. [PDF]
Infect Dis ModelTuan DA, Uyen PVN.
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The associations between exposure to mixed environmental endocrine disruptors and sex steroid hormones in men: a comparison of different statistical models. [PDF]
Sci RepZhao S, Dong J, Luo Z.
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Scalp surface estimation and head registration using sparse sampling and 3D statistical models. [PDF]
Comput Biol MedSchlesinger O +8 more
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OPTIMIZATION-DRIVEN STATISTICAL MODELS OF ANATOMIES USING RADIAL BASIS FUNCTION SHAPE REPRESENTATION. [PDF]
Proc IEEE Int Symp Biomed ImagingXu H, Elhabian SY.
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Statistical Models in Epidemiology.
Journal of the American Statistical Association, 19955. Statistical Models in Epidemiology. By D. Clayton and M. Hills. ISBN 0 19 852221 5. Oxford University Press, Oxford, 1993. 368 pp. £30.
M. K., David Clayton, Michael Hills
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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
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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
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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
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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
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2020
This chapter describes the application of statistical concepts with illustration about statistical models, probability, normal distribution, and analysis of variance (ANOVA). Statistical analysis is an important action process in research that deals with data. It follows well-defined, systematic, and mathematical procedures and rules.
Mukhtar Ahmed, Mukhtar Ahmed
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This chapter describes the application of statistical concepts with illustration about statistical models, probability, normal distribution, and analysis of variance (ANOVA). Statistical analysis is an important action process in research that deals with data. It follows well-defined, systematic, and mathematical procedures and rules.
Mukhtar Ahmed, Mukhtar Ahmed
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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 ...
Lawton H. Lee, Kameshwar Poolla
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