Results 11 to 20 of about 315,437 (261)
Jurnal Matematika Integratif, 2020 The purpose of this study was to predict seasonal time series data using the Holt-Winters exponential smoothing additive model. The data used in this study is data on the number of passengers departing at Hasanudin Airport in 2009-2019, the source of ...
Nurhamidah Nurhamidah +2 more
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Building a Multiple Linear Regression Model With LEGO Brick Data
Journal of Statistics and Data Science Education, 2021 We present an innovative activity that uses data about LEGO sets to help students self-discover multiple linear regressions. Students are guided to predict the price of a LEGO set posted on Amazon.com (Amazon price) using LEGO characteristics such as the
Anna D. Peterson, Laura Ziegler
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Generalized Additive Models [PDF]
Statistical Science, 1984 The classical linear regression model expresses the response vector Y as a function of the predictor variables \(X_ i\) through the model \(Y=\sum_{i}X_ i\beta_ i+e\), where the \(X_ i\) are observed, the \(\beta_ i\) are estimated by least squares or some other technique, e is the vector of errors.
Hastie, Trevor, Tibshirani, Robert
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Evaluation of the effectiveness of the use of additive wax printing technologies for obtaining wax models for lost-wax casting in custom production based on simulation modeling [PDF]
E3S Web of Conferences, 2023 The article discusses the technology of casting according to the smelted models, in particular, the processes of manufacturing wax models. We considered methods of manufacturing elements of model blocks with the use of molds and with the help of additive
Dolgov Nikita +2 more
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‘Additive difference’ models without additivity and subtractivity [PDF]
Journal of Mathematical Psychology, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bouyssou, Denis, Pirlot, Marc
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Semiparametric Additive Beta Regression Models
Revstat Statistical Journal, 2021 In this paper, we study a semiparametric additive beta regression model using a parameterization based on the mean and a dispersion parameter. This model is useful for situations where the response variable is continuous and restricted to the unit ...
Germán Ibacache-Pulgar +2 more
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Fitting additive Poisson models [PDF]
Epidemiologic Perspectives & Innovations, 2010 AbstractThis paper describes how to fit an additive Poisson model using standard software. It is illustrated with SAS code, but can be similarly used for other software packages.
Boshuizen, H.C., Feskens, E.J.M.
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Reluctant Generalised Additive Modelling
International Statistical Review, 2020 SummarySparse generalised additive models (GAMs) are an extension of sparse generalised linear models that allow a model's prediction to vary non‐linearly with an input variable. This enables the data analyst build more accurate models, especially when the linearity assumption is known to be a poor approximation of reality.
J. Kenneth Tay, Robert Tibshirani
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Spanish Journal of Agricultural Research, 2016 Virgin olive oil is a key ingredient of the renowned Mediterranean diet. In this context, the main objective of this study was to estimate and decompose productivity change for Protected Designations of Origin (PDOs) in the Spanish virgin olive oil ...
Juan Aparicio +3 more
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Negative Binomial Additive Models [PDF]
Biometrics, 2000 Summary.The generalized additive model is extended to handle negative binomial responses. The extension is complicated by the fact that the negative binomial distribution has two parameters and is not in the exponential family. The methodology is applied to data involving DNA adduct counts and smoking variables among ex‐smokers with lung cancer. A more
Thurston, Sally W. +2 more
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