Results 131 to 140 of about 56,744 (172)
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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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2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 2009
In designed experiments, we often encountered nonnormal response variables. The data transformations (Transf) approached are frequently employed to deal with these problems. One has to realize that analyzing such data based on transformations posed many drawbacks. A better approach in dealing with these problems is by using the Generalized Linear Model
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In designed experiments, we often encountered nonnormal response variables. The data transformations (Transf) approached are frequently employed to deal with these problems. One has to realize that analyzing such data based on transformations posed many drawbacks. A better approach in dealing with these problems is by using the Generalized Linear Model
openaire +1 more source
2023
Kesehatan memiliki peranan penting dalam kehidupan manusia. Banyaknya kunjungan kesehatan ke pusat kesehatan menyebabkan pihak kesehatan memikirkan faktor-faktor yang mempengaruhi kesehatan pasiennya. Penggunaan data longitudinal pasien diukur dalam beberapa periode waktu dengan tanggapan kuantitatif merupakan hal yang umum dalam penelitian medis, data
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Kesehatan memiliki peranan penting dalam kehidupan manusia. Banyaknya kunjungan kesehatan ke pusat kesehatan menyebabkan pihak kesehatan memikirkan faktor-faktor yang mempengaruhi kesehatan pasiennya. Penggunaan data longitudinal pasien diukur dalam beberapa periode waktu dengan tanggapan kuantitatif merupakan hal yang umum dalam penelitian medis, data
openaire
2014
General circulation model (GCM) climate projections cannot be relied on to provide information at scales finer than the GCM model-grid resolutions; hence, fine-scale information can be achieved by the use of high spatial resolution in dynamical models or empirical statistical downscaling.
M. Kigobe, H. Wheater, N. McIntyre
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General circulation model (GCM) climate projections cannot be relied on to provide information at scales finer than the GCM model-grid resolutions; hence, fine-scale information can be achieved by the use of high spatial resolution in dynamical models or empirical statistical downscaling.
M. Kigobe, H. Wheater, N. McIntyre
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Application of General Linear Modeling (GLM) to analysis of indentation in compact bone
2012The indentation process is useful in determining the behavior of a material under the action of a point or line load. The main geometric features of a wedge shaped indenter are the wedge angle and the radius on the wedge apex. General Linear Modeling is a statistical linear regression model which may be stated as: Y= β0+β1Xi1+β2X i2+β3Xi3+β4X i1Xi2 ...
Reilly, Ger, Taylor, David
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PREMIUM PRICING AND RISK ASSESSMENT FOR CLAIM AMOUNTS BASED ON GENERALIZED LINEAR MODELS (GLM)
2013ActuarialScience is described as a mechanism that decreases the negative financialeffects of random events which becomes obstacles to actualize reasonableexpectations. It is important subject to make a fair share for the same amountof money which is paid by the people who has the same risk.
Sarul, Latife Sinem +1 more
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