A Comparison of Strategies for Smoothing Parameter Selection for Mixed-Format Tests Under the Random Groups Design

Chunyan Liu; Michael J. Kolen

doi:10.1111/jedm.12192

A Comparison of Strategies for Smoothing Parameter Selection for Mixed-Format Tests Under the Random Groups Design

Journal of Educational Measurement ◽

10.1111/jedm.12192 ◽

2018 ◽

Vol 55 (4) ◽

pp. 564-581 ◽

Cited By ~ 2

Author(s):

Chunyan Liu ◽

Michael J. Kolen

Keyword(s):

Parameter Selection ◽

Smoothing Parameter ◽

Smoothing Parameter Selection ◽

Selection For ◽

Random Groups Design ◽

Random Groups ◽

Mixed Format ◽

Mixed Format Tests

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Local weighted composite quantile estimation and smoothing parameter selection for nonparametric derivative function

Econometric Reviews ◽

10.1080/07474938.2019.1580947 ◽

2019 ◽

Vol 39 (3) ◽

pp. 215-233

Author(s):

Qichang Xie ◽

Qiankun Sun ◽

Junxian Liu

Keyword(s):

Parameter Selection ◽

Smoothing Parameter ◽

Quantile Estimation ◽

Derivative Function ◽

Smoothing Parameter Selection ◽

Selection For

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Smoothing parameter selection for smoothing splines: a simulation study

Computational Statistics & Data Analysis ◽

10.1016/s0167-9473(02)00159-7 ◽

2003 ◽

Vol 42 (1-2) ◽

pp. 139-148 ◽

Cited By ~ 44

Author(s):

Thomas C.M. Lee

Keyword(s):

Simulation Study ◽

Smoothing Splines ◽

Parameter Selection ◽

Smoothing Parameter ◽

Smoothing Parameter Selection ◽

Selection For

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Variance Estimation and Smoothing-Parameter Selection for Spline Regression

Smoothing and Regression - Wiley Series in Probability and Statistics ◽

10.1002/9781118150658.ch2 ◽

2012 ◽

pp. 19-41

Author(s):

Angelika van der Linde

Keyword(s):

Variance Estimation ◽

Parameter Selection ◽

Smoothing Parameter ◽

Spline Regression ◽

Smoothing Parameter Selection ◽

Selection For

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Smoothing parameter selection for smooth distribution functions

Journal of Statistical Planning and Inference ◽

10.1016/0378-3758(93)90068-h ◽

1993 ◽

Vol 35 (1) ◽

pp. 65-75 ◽

Cited By ~ 47

Author(s):

P. Sarda

Keyword(s):

Parameter Selection ◽

Distribution Functions ◽

Smoothing Parameter ◽

Smoothing Parameter Selection ◽

Selection For

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Spatially adaptive smoothing parameter selection for Markov random field based sub-pixel mapping of remotely sensed images

International Journal of Remote Sensing ◽

10.1080/01431161.2012.703347 ◽

2012 ◽

Vol 33 (24) ◽

pp. 7886-7901 ◽

Cited By ~ 34

Author(s):

Xiaodong Li ◽

Yun Du ◽

Feng Ling

Keyword(s):

Random Field ◽

Markov Random Field ◽

Parameter Selection ◽

Smoothing Parameter ◽

Adaptive Smoothing ◽

Smoothing Parameter Selection ◽

Markov Random ◽

Spatially Adaptive ◽

Selection For ◽

Pixel Mapping

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Nonlinearly Smoothed EM Density Estimation with Automated Smoothing Parameter Selection for Nonparametric Deconvolution Problems

Journal of the American Statistical Association ◽

10.1080/01621459.1997.10473666 ◽

1997 ◽

Vol 92 (440) ◽

pp. 1451-1458 ◽

Cited By ~ 8

Author(s):

P. P. B. Eggermont ◽

V. N. Lariccia

Keyword(s):

Density Estimation ◽

Parameter Selection ◽

Smoothing Parameter ◽

Smoothing Parameter Selection ◽

Selection For

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Asymptotics and smoothing parameter selection for penalized spline regression with various loss functions

Statistica Neerlandica ◽

10.1111/stan.12088 ◽

2016 ◽

Vol 70 (4) ◽

pp. 278-303

Author(s):

Takuma Yoshida

Keyword(s):

Parameter Selection ◽

Smoothing Parameter ◽

Loss Functions ◽

Spline Regression ◽

Penalized Spline ◽

Smoothing Parameter Selection ◽

Selection For ◽

Penalized Spline Regression

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Gradient-based smoothing parameter selection for nonparametric regression estimation

Journal of Econometrics ◽

10.1016/j.jeconom.2014.09.007 ◽

2015 ◽

Vol 184 (2) ◽

pp. 233-241 ◽

Cited By ~ 11

Author(s):

Daniel J. Henderson ◽

Qi Li ◽

Christopher F. Parmeter ◽

Shuang Yao

Keyword(s):

Nonparametric Regression ◽

Parameter Selection ◽

Smoothing Parameter ◽

Regression Estimation ◽

Nonparametric Regression Estimation ◽

Smoothing Parameter Selection ◽

Gradient Based ◽

Selection For

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Optimum smoothing parameter selection for penalized least squares in form of linear mixed effect models

Optimization ◽

10.1080/02331934.2011.574698 ◽

2012 ◽

Vol 61 (4) ◽

pp. 459-476 ◽

Cited By ~ 4

Author(s):

Dursun Aydın ◽

Memmedağa Memmedli

Keyword(s):

Least Squares ◽

Parameter Selection ◽

Smoothing Parameter ◽

Penalized Least Squares ◽

Mixed Effect ◽

Linear Mixed Effect ◽

Smoothing Parameter Selection ◽

Mixed Effect Models ◽

Selection For ◽

Linear Mixed Effect Models

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Targeted smoothing parameter selection for estimating average causal effects

Computational Statistics ◽

10.1007/s00180-014-0515-0 ◽

2014 ◽

Vol 29 (6) ◽

pp. 1727-1748 ◽

Cited By ~ 3

Author(s):

Jenny Häggström ◽

Xavier de Luna

Keyword(s):

Parameter Selection ◽

Smoothing Parameter ◽

Causal Effects ◽

Smoothing Parameter Selection ◽

Selection For

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