Results 11 to 20 of about 13,830,927 (82)

Wavelet Estimators in Nonparametric Regression: A Comparative Simulation Study [PDF]

, 2001
Wavelet analysis has been found to be a powerful tool for the nonparametric estimation of spatially-variable objects. We discuss in detail wavelet methods in nonparametric regression, where the data are modelled as observations of a signal contaminated ...
Theofanis Sapatinas, Anestis Antoniadis, Antoniadis, Anestis, Jérémie Bigot, Sapatinas, Theofanis, Bigot, Jérémie   +5 more
core   +1 more source

A Nonparametric Method for the Derivation of α/β Ratios from the Effect of Fractionated Irradiations [PDF]

, 1991
Multifractionation isoeffect data are commonly analysed under the assumption that cell survival determines the observed tissue or tumour response, and that it follows a linear-quadratic dose dependence.
Guttenberger, R., Kellerer, Albrecht M., Chmelevsky, D., Kummermehr, J.C., Kummermehr, Johann, Kellerer, A.M.   +5 more
core   +1 more source

Nonparametric statistical methods

, 2023
Nonparametric methods are appropriate when certain assumptions about distributions that common parametric methods make are questionable. In this entry, we review nonparametric statistical tests based on exact or simulated sampling distributions.
Ercikan, K., Tierney, R., Rizvi, F., Emons, Wilco, Sijtsma, Klaas   +4 more
core   +2 more sources

Resampling the peak, some dos and don'ts [PDF]

, 2015
Resampling techniques are used widely within the ERP community to assess statistical significance and especially in the deception detection literature.
Zoumpoulaki, Alexia, Bowman, Howard; id_orcid, Alsufyani, Abdulmajeed, Bowman, Howard   +3 more
core   +1 more source

Nonparametric tests of conditional treatment effects [PDF]

, 2009
We develop a general class of nonparametric tests for treatment effects conditional on covariates. We consider a wide spectrum of null and alternative hypotheses regarding conditional treatment effects, including (i) the null hypothesis of the ...
Whang, Yoon-Jae, Whang, Y.-J., Yoon-Jae Whang, Lee, S., Lee, Sokbae, Sokbae (Simon) Lee   +5 more
core   +1 more source

A comparison of gene region simulation methods [PDF]

, 2012
Background: Accurately modeling LD in simulations is essential to correctly evaluate new and existing association methods. At present, there has been minimal research comparing the quality of existing gene region simulation methods to produce LD ...
Josée Dupuis, Mayetri Gupta, Mayetri Gupta (151761), Kathryn L. Lunetta (149902), Mark W. Logue (151764), Audrey E. Hendricks (151757), Kathryn L Lunetta, Mark W. Logue, Audrey E Hendricks, Kathryn L. Lunetta, Audrey E. Hendricks, Josée Dupuis (28859), Mark W Logue, Logue, M.W., Dupuis, J., Hendricks Audrey E., Lunetta, K.L., Dupuis Josée, Gupta Mayetri, Logue Mark W., Hendricks, A.E., Lunetta Kathryn L., Gupta, M.   +22 more
core   +3 more sources

DEVELOPMENT OF NONPARAMETRIC PATH FUNCTION USING HYBRID TRUNCATED SPLINE AND KERNEL FOR MODELING WASTE-TO-ECONOMIC VALUE BEHAVIOR

Barekeng
Waste management remains a challenge, including in Batu City, East Java, Indonesia. Rapid population growth and economic activities in the city have resulted in a substantial increase in waste volume.
Usriatur Rohma, Adji Achmad Rinaldo Fernandes, Suci Astutik, Solimun Solimun   +3 more
doaj   +1 more source

Comparing Various Descriptive Statistics for Two Independent Groups in Agricultural Experiments

Journal of Agricultural Sciences
Comparing two groups holds significant importance in statistical analysis across various fields, including agriculture, where performance evaluations are commonly conducted.
Melis Çelik Güney, Zeynel Cebeci, Uğur Serbester   +2 more
doaj   +1 more source

Nonparametric and semiparametric methods for economic research [PDF]

, 1992
Developments in the vast and growing literatures on nonparametric and semiparametric statistical estimation are reviewed. The emphasis is on useful methodology rather than statistical properties for their own sake. Some empirical applications to economic
Robinson, Peter M., Delgado, Miguel A.
core  

Statistical inference methods for n‐dimensional hypervolumes: Applications to niches and functional diversity

Methods in Ecology and Evolution
The size and shape of niche spaces or trait spaces are often analysed using hypervolumes estimated from data. The hypervolume R package has previously supported such analyses via descriptive but not inferential statistics. This gap has limited the use of
Daniel Chen, Alex Laini, Benjamin Wong Blonder   +2 more
doaj   +1 more source