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2009, 1. Aufl., ISBN 047045461X, xiii, 247
A practical and understandable approach to nonparametric statistics for researchers across diverse areas of studyAs the importance of nonparametric methods in... 
Nonparametric statistics | Statistics
Book
Socio-Economic Planning Sciences, ISSN 0038-0121, 2008, Volume 42, Issue 4, pp. 247 - 254
This paper describes a software package for computing non-parametric efficiency estimates, making inference, and testing hypotheses in frontier models.... 
DEA | Benchmarking | Software | Non-parametric | Efficiency | Non-parametric DEA Efficiency Software Benchmarking
Journal Article
Biochemia Medica, ISSN 1330-0962, 06/2012, Volume 23, Issue 2, pp. 143 - 149
The Chi-square statistic is a non-parametric (distribution free) tool designed to analyze group differences when the dependent variable is measured at a... 
Assumptions | Categorical data | Chi-square | Non-parametric | Statistical analysis | categorical data | MEDICAL LABORATORY TECHNOLOGY | non-parametric | statistical analysis | assumptions | Chi-Square Distribution | Data Interpretation, Statistical
Journal Article
Journal of Econometrics, ISSN 0304-4076, 05/2014, Volume 180, Issue 1, pp. 49 - 72
Multiple time series data may exhibit clustering over time and the clustering effect may change across different series. This paper is motivated by the... 
Pitman–Yor process | Stick-breaking process | Dirichlet process | Bayesian non-parametrics | Panel vector autoregressive process | Pitman-Yor process | PRIORS | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | MODELS | DENSITY-ESTIMATION | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS | CYCLE | Markov processes | Algorithms
Journal Article
Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 11/2009, Volume 71, Issue 5, pp. 1009 - 1030
We present a new class of methods for high dimensional non-parametric regression and classification called sparse additive models. Our methods combine ideas... 
Linear regression | Threshing | Component functions | Matrices | Regression analysis | Data smoothing | Nonparametric models | Linear models | Estimators | Truncation | Non‐parametric regression | Sparsity | Lasso | Additive models | Non-parametric regression | REGRESSION | STATISTICS & PROBABILITY | VARIABLE SELECTION | Analysis | Models | Algorithms | Studies | Linear programming | Statistical analysis
Journal Article
Journal of the Royal Statistical Society: Series B (Statistical Methodology), ISSN 1369-7412, 06/2017, Volume 79, Issue 3, pp. 695 - 718
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2016, Volume 70, Issue 4, pp. 1 - 40
We present a new package in R implementing Bayesian additive regression trees (BART). The package introduces many new features for data analysis using BART... 
Java | Non-parametric | Statistical learning | Bayesian | Machine learning | statistical learning | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MISSING DATA | BINARY | STATISTICS & PROBABILITY | RESPONSE DATA | machine learning | non-parametric | BART
Journal Article
Journal of the Royal Statistical Society: Series B (Statistical Methodology), ISSN 1369-7412, 11/2017, Volume 79, Issue 5, pp. 1463 - 1485
Summary Existing tests for factorial designs in the non‐parametric case are based on hypotheses formulated in terms of distribution functions. Typical null... 
Factorial designs | Repeated measures | Non‐parametric statistics | Pseudoranks | Kruskal–Wallis test | Rank statistics | Non-parametric statistics | Analysis | Distribution (Probability theory) | Hypotheses | Parameters | Parametric analysis | Computer simulation | Variance analysis | Estimators | Distribution functions
Journal Article
Renewable and Sustainable Energy Reviews, ISSN 1364-0321, 02/2014, Volume 30, pp. 452 - 460
The wind turbine power curve shows the relationship between the wind turbine power and hub height wind speed. It essentially captures the wind turbine... 
Modeling accuracy | Non-parametric modeling | Parametric modeling | Wind turbine power curve | GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | ENERGY | ENERGY & FUELS | OPTIMIZATION | ALGORITHMS | Analysis | Air-turbines | Green technology
Journal Article
Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 11/2014, Volume 76, Issue 5, pp. 885 - 901
We investigate the estimation efficiency of the central mean subspace in the framework of sufficient dimension reduction. We derive the semiparametric... 
Non‐parametric regression | Semiparametric efficiency | Dimension reduction | Estimating equations | Sliced inverse regression | Non-parametric regression | STATISTICS & PROBABILITY | Studies | Estimates
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 12/2008, Volume 9, pp. 2677 - 2694
Journal Article
Journal of the Royal Statistical Society: Series C (Applied Statistics), ISSN 0035-9254, 01/2019, Volume 68, Issue 1, pp. 3 - 28
Summary The rise of ‘big data’ has led to the frequent need to process and store data sets containing large numbers of high dimensional observations. Because... 
Censoring | Cross‐elasticity | Bayesian non‐parametrics | Bayesian non-parametrics | Cross-elasticity | DEMAND | STATISTICS & PROBABILITY | MODEL | INFERENCE | FAMILY | Economic models | Parameters | Mixtures | Markov analysis | Clustering | Statistics | Flexibility | Analytics | Sales | Data management | Competitors | Dirichlet problem | Modelling | Behavior | Bayesian analysis | Statistics - Applications
Journal Article