Results 151 to 160 of about 141,753 (193)
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Generalized Linear Models (GLM)
2021Abstract Chapter 7 introduces one of the most useful statistical frameworks for the modern life scientist: the generalized linear model (GLM). GLMs extend the linear model to an array of non-normally distributed data such as Poisson, negative binomial, binomial, and Gamma distributed data. These models dramatically improve the breadth of
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GLM+: An Efficient System for Generalized Linear Models
2018 IEEE International Conference on Big Data and Smart Computing (BigComp), 2018Generalized linear models are widely used in data analysis and machine learning, especially in large-scale machine learning because of its simplicity and good performance. Generalized linear models include regression, like linear regression, lasso and classification, support vector machine and logistic regression.
Lele Yu +4 more
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Generalized Linear Models (GLMs)
2019Generalized Linear Models are widely known under their famous acronym GLMs. Today, GLMs are recognized as an industry standard for pricing personal lines and small commercial lines of insurance business. This chapter reviews the GLM methodology with a special emphasis to insurance problems.
Michel Denuit +2 more
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Using Generalized Linear Models (GLMs) to Model Errors in Motor Performance
Journal of Motor Behavior, 1991Because of differences in design factors, experiments in human motor performance sometimes produce a wide range in variability or consistency in a subject's individual errors. These differences in variation often lead to heterogeneity in the variance-covariance matrices between group factors, which prohibits the use of repeated-measures (RM) ANOVA or ...
A M, Nevill, J B, Copas
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AIP Conference Proceedings, 2019
At vehicle insurance companies, the determination of the appropriate pure premium will make the business run well. In this study, we were modeling claims frequency data by considering the characteristics of policyholder such as policyholder’s age, marital status, sex, car engine capacity, and age.
null Jamilatuzzahro +3 more
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At vehicle insurance companies, the determination of the appropriate pure premium will make the business run well. In this study, we were modeling claims frequency data by considering the characteristics of policyholder such as policyholder’s age, marital status, sex, car engine capacity, and age.
null Jamilatuzzahro +3 more
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African Journal of Applied Statistics, 2023
Generalized Linear Models (GLMs) provide a unified approach that encompasses most of the linear models. However, they could not been properly used in agricultural sciences. In this review, we (1) examined the correctness related to the application of GLMs to agricultural sciences; and (2) provided a guideline for their suitable use.
Paulette Béhanzin Guédézoumè +2 more
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Generalized Linear Models (GLMs) provide a unified approach that encompasses most of the linear models. However, they could not been properly used in agricultural sciences. In this review, we (1) examined the correctness related to the application of GLMs to agricultural sciences; and (2) provided a guideline for their suitable use.
Paulette Béhanzin Guédézoumè +2 more
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Quality and Reliability Engineering International, 2007
AbstractThe data‐transformation approach and generalized linear modeling both require specification of a transformation prior to deriving the linear predictor (LP). By contrast, response modeling methodology (RMM) requires no such specifications. Furthermore, RMM effectively decouples modeling of the LP from modeling its relationship to the response ...
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AbstractThe data‐transformation approach and generalized linear modeling both require specification of a transformation prior to deriving the linear predictor (LP). By contrast, response modeling methodology (RMM) requires no such specifications. Furthermore, RMM effectively decouples modeling of the LP from modeling its relationship to the response ...
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Statistical analysis of stability data by means of general linear models (GLM)
Drug Development and Industrial Pharmacy, 1991AbstractApplication of a General Linear Model (GLM, “Analysis of Covariance”) to the statistical interpretation of stability data combines the methods of regression and analysis of variance in one common model. Expanding the well accepted method of linear regression upon time, the GLM model permits one to include supportive factors which may be either ...
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Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics, 2019
OBJECTIVE: To retrospectively explore correlation of the resected specimen volume of breast microcalcification lesions and endogenous and exogenous factors of stereotactic needle localization biopsy (SNLB). MATERIALS AND METHODS: Totally 214 patients underwent SNLB for non-palpable breast lesion with microcalcification lesions.
Qian, Wang +7 more
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OBJECTIVE: To retrospectively explore correlation of the resected specimen volume of breast microcalcification lesions and endogenous and exogenous factors of stereotactic needle localization biopsy (SNLB). MATERIALS AND METHODS: Totally 214 patients underwent SNLB for non-palpable breast lesion with microcalcification lesions.
Qian, Wang +7 more
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