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Relevant bibliographies by topics / Mallows's Cp Statistics

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Academic literature on the topic 'Mallows's Cp Statistics'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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Journal articles on the topic "Mallows's Cp Statistics"

1

Zuccaro, Cataldo. "Mallows’ Cp Statistic and Model Selection in Multiple Linear Regression." Market Research Society. Journal. 34, no. 2 (1992): 1–10. http://dx.doi.org/10.1177/147078539203400204.

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2

Siniksaran, Enis. "A geometric interpretation of Mallows’ Cp statistic and an alternative plot in variable selection." Computational Statistics & Data Analysis 52, no. 7 (2008): 3459–67. http://dx.doi.org/10.1016/j.csda.2007.10.023.

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3

Uzoma, Umeh Edith, and Obulezi Okechukwu Jeremiah. "An Alternative Approach to AIC and Mallow’s Cp Statistic-Based Relative Influence Measures (RIMS) in Regression Variable Selection." Open Journal of Statistics 06, no. 01 (2016): 70–75. http://dx.doi.org/10.4236/ojs.2016.61009.

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Chowdhury, Mohammad Ziaul Islam, and Tanvir C. Turin. "Variable selection strategies and its importance in clinical prediction modelling." Family Medicine and Community Health 8, no. 1 (2020): e000262. http://dx.doi.org/10.1136/fmch-2019-000262.

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Clinical prediction models are used frequently in clinical practice to identify patients who are at risk of developing an adverse outcome so that preventive measures can be initiated. A prediction model can be developed in a number of ways; however, an appropriate variable selection strategy needs to be followed in all cases. Our purpose is to introduce readers to the concept of variable selection in prediction modelling, including the importance of variable selection and variable reduction strategies. We will discuss the various variable selection techniques that can be applied during predict

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Hitziger, Martin, and Mareike Ließ. "Comparison of Three Supervised Learning Methods for Digital Soil Mapping: Application to a Complex Terrain in the Ecuadorian Andes." Applied and Environmental Soil Science 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/809495.

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A digital soil mapping approach is applied to a complex, mountainous terrain in the Ecuadorian Andes. Relief features are derived from a digital elevation model and used as predictors for topsoil texture classes sand, silt, and clay. The performance of three statistical learning methods is compared: linear regression, random forest, and stochastic gradient boosting of regression trees. In linear regression, a stepwise backward variable selection procedure is applied and overfitting is controlled by minimizing Mallow’s Cp. For random forest and boosting, the effect of predictor selection and tu

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Okkan, Umut, and Zafer Ali Serbes. "The combined use of wavelet transform and black box models in reservoir inflow modeling." Journal of Hydrology and Hydromechanics 61, no. 2 (2013): 112–19. http://dx.doi.org/10.2478/johh-2013-0015.

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Abstract In the study presented, different hybrid model approaches are proposed for reservoir inflow modeling from the meteorological data (monthly precipitation, one-month-ahead precipitation and monthly mean temperature data) by the combined use of discrete wavelet transform (DWT) and different black box techniques. Multiple linear regression (MLR), feed forward neural networks (FFNN) and least square support vector machines (LSSVM) were considered as the black box methods. In the modeling strategy, meteorological input data were decomposed into wavelet sub-time series at three resolution le

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7

Singhal, Sandeep, Matthew Parliament, Muhammad Faisal Jamaluddin, Emma Lee, Ron Sloboda, and Nawaid Usmani. "Risk prediction-modeling approach to identify best predictive parameters for urethral strictures after prostate brachytherapy." Journal of Clinical Oncology 35, no. 6_suppl (2017): 87. http://dx.doi.org/10.1200/jco.2017.35.6_suppl.87.

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87 Background: Urethral strictures (US) are a rare complication of prostate brachytherapy (BXT), with prior studies showing radiation dose to the bulbomembranous urethra is associated with stricture formation. This retrospective case-control study explored clinical and dosimetric parameters associated with the development of BXT-related urethral strictures. Methods: A cohort of 34 patients developed urethral strictures after BXT at our institution for the period of 2008-2014. Each case was matched with two controls (68 controls) that had not developed a US according to similar baseline Interna

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8

Alshqaq, Shokrya, and Ali Abuzaid. "On the robustness of Mallows’ Cp criterion." Communications in Statistics - Simulation and Computation, February 11, 2021, 1–54. http://dx.doi.org/10.1080/03610918.2021.1874988.

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9

NIEDOBA, Tomasz, Agnieszka SUROWIAK, and Paulina PIĘTA. "Factor Analysis and Mathematical Modeling in Determining the Quality of Coal." Inżynieria Mineralna 1, no. 1 (2020). http://dx.doi.org/10.29227/im-2020-01-24.

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The separation of coal material of three types of coals originating from three various Polish hard coal mines (types 31, 34.2 and 35, according to Polish nomenclature, which were steam coal, semi-coking coal and coking coal) into particle size fractions and then into particle density fractions was done and then the following parameters were measured for each particle size-density fraction: combustion heat, ash contents, sulfur contents, volatile parts contents, analytic moisture. In this way a 7-dimensional vector of data was created. Using methods of factor analysis the important features of

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Dissertations / Theses on the topic "Mallows's Cp Statistics"

1

Petrovič, Branislav. "Regresní metody odhadu vybraných charakteristik tavených sýrů v závislosti na poměru tavicích solí." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2013. http://www.nusl.cz/ntk/nusl-230946.

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This thesis deals with regression analysis of experimentally measured data of processed cheese. There is a polynomial regression used. The choice of regressors is based on Stepwise Regression and Mallows's Statistics. The estimation of the mean value is used to find the best mixture of the emulsifying salts with regards to the observed characteristic of the processed cheese. Analysis of the experiment and its results are well documented graphically.

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Books on the topic "Mallows's Cp Statistics"

1

Moineddin, Rahim. Comments on Mallows' Cp statistics and multicollinearity effects on predictions. National Library of Canada, 2001.

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2

Cheng, Russell. Bootstrapping Linear Models. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0016.

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Bootstrap model selection is proposed for the difficult problem of selecting important factors in non-orthogonal linear models when the number of factors, P, is large. In the method, the full model is first fitted to the original data. Then B parametric bootstrap samples are drawn from the fitted model, and the full model fitted to each. A submodel is obtained from each fitted full model by rejecting those factors found unimportant in the fit. Each distinct selected submodel is then fitted to the original data and its Mallows Cp statistic calculated. A subset of good submodels based on the Cp

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Book chapters on the topic "Mallows's Cp Statistics"

1

Elhassnaoui, Ismail, Zineb Moumen, Hicham Ezzine, et al. "Downscaling of Open Coarse Precipitation Data Using a Machine Learning Algorithm." In Impacts of Climate Change on Agriculture and Aquaculture. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3343-7.ch001.

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In this chapter, the authors propose a novel statistical model with a residual correction of downscaling coarse precipitation TRMM 3B43 product. The presented study was carried out over Morocco, and the objective is to improve statistical downscaling for TRMM 3B43 products using a machine learning algorithm. Indeed, the statistical model is based on the Transformed Soil Adjusted Vegetation Index (TSAVI), elevation, and distance from the sea. TSAVI was retrieved using the quantile regression method. Stepwise regression was implemented with the minimization of the Akaike information criterion and Mallows' Cp indicator. The model validation is performed using ten in-situ measurements from rain gauge stations (the most available data). The result shows that the model presents the best fit of the TRMM 3B43 product and good accuracy on estimating precipitation at 1km according to 𝑅2, RMSE, bias, and MAE. In addition, TSAVI improved the model accuracy in the humid bioclimatic stage and in the Saharan region to some extent due to its capacity to reduce soil brightness.

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Conference papers on the topic "Mallows's Cp Statistics"

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Xue, Feng, Jiaqi Liu, Chenyang Mu, Min Zhao, Li Zhang, and Shenghai Jiao. "A new approach to blind PSF estimation based on Mallows' statistics Cp." In International Symposium on Optoelectronic Technology and Application 2014, edited by Gaurav Sharma, Fugen Zhou, and Jennifer Liu. SPIE, 2014. http://dx.doi.org/10.1117/12.2069676.

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