Results 61 to 70 of about 284,493 (167)

New Agricultural Tractor Manufacturer’s Suggested Retail Price (MSRP) Model in Europe

Agriculture
Research investigating models for assessing new tractor pricing is notably scarce, despite its fundamental importance in conducting comprehensive cost analyses.
Ivan Herranz-Matey, Luis Ruiz-Garcia
doaj   +1 more source

A non-parametric hidden Markov model for climate state identification [PDF]

Hydrology and Earth System Sciences, 2003
Hidden Markov models (HMMs) can allow for the varying wet and dry cycles in the climate without the need to simulate supplementary climate variables. The fitting of a parametric HMM relies upon assumptions for the state conditional distributions.
M. F. Lambert, M. F. Lambert, J. P. Whiting, A. V. Metcalfe   +3 more
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Application of non-parametric models for analyzing survival data of COVID-19 patients. [PDF]

J Infect Public Health, 2021
Ghosh S, Samanta G, Nieto JJ.
europepmc   +1 more source

icenReg: Regression Models for Interval Censored Data in R

Journal of Statistical Software, 2017
The non-parametric maximum likelihood estimator and semi-parametric regression models are fundamental estimators for interval censored data, along with standard fullyparametric regression models.
Clifford Anderson-Bergman
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Methods of competing risks flexible parametric modeling for estimation of the risk of the first disease among HIV infected men

BMC Medical Research Methodology, 2020
Background Patients infected with the Human Immunodeficiency Virus (HIV) are susceptible to many diseases. In these patients, the occurrence of one disease alters the chance of contracting another.
Sahar Nouri, Mahmood Mahmoudi, Kazem Mohammad, Mohammad Ali Mansournia, Mahdi Yaseri, Noori Akhtar-Danesh   +5 more
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Non-parametric correlation structures and their respective embeddings in predictive analysis

Discover Applied Sciences
In data analysis, there is a natural connection between correlation and visual analysis. Correlation analysis enables the identification of relationships between attribute pairs in multidimensional datasets, while visual data analysis focuses on ...
Adam Dudáš
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Hybrid Learning Model for intrusion detection system: A combination of parametric and non-parametric classifiers

Alexandria Engineering Journal
The growing digital transformation has increased the need for effective intrusion detection systems. Traditional intrusion detection systems face challenges in accurately classifying complex patterns.
C. Rajathi, P. Rukmani
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Hospital performance evaluation models: A scoping review

Journal of Education and Health Promotion
Evaluating the performance of hospitals, the largest budget consumers of the health system, is challenging. This scoping review aimed to identify and classify hospital performance evaluation models and their dimensions.
Shirin Alsadat Hadian, Reza Rezayatmand, Saeedeh Ketabi, Nasrin Shaarbafchizadeh, Ahmad Reza Pourghaderi   +4 more
doaj   +1 more source

Expect the unexpected: Augmented mixture models for black-hole-population studies

Astronomy & Astrophysics
Context. Black-hole-population studies are currently performed either using astrophysically motivated models (informed but rigid in their functional forms) or via non-parametric methods (flexible, but not directly interpretable). Aims.
Rinaldi Stefano
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Graduating the age-specific fertility pattern using Support Vector Machines

Demographic Research, 2009
A topic of interest in demographic literature is the graduation of the age-specific fertility pattern. A standard graduation technique extensively used by demographers is to fit parametric models that accurately reproduce it.
Anastasia Kostaki, Javier Moguerza, Alberto Olivares, Stelios Psarakis   +3 more
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