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SAE technical paper series, Volume 2011-01-0988.
In this research the differential braking design for articulated vehicle jackknife prevention is investigated. To handle the variations in the semi-trailer... 
Jackknife crashes | Mathematical models | Vehicle dynamics
eJournal
1982, CBMS-NSF regional conference series in applied mathematics, ISBN 0898711797, Volume 38, vii, 92
Book
SAE technical paper series, Volume 2015-01-2746.
Vehicle jackknifing is generally associated with the loss of yaw stability, and is one of the most common cause of serious traffic accidents involving... 
Jackknife crashes | Electronic braking systems | Stability control | Commercial vehicles | Vehicle dynamics
eJournal
Statistics in Medicine, ISSN 0277-6715, 02/2019, Volume 38, Issue 4, pp. 558 - 582
Random forests are a popular nonparametric tree ensemble procedure with broad applications to data analysis. While its widespread popularity stems from its... 
delete‐d jackknife | bootstrap | prediction error | permutation importance | VIMP | subsampling | delete-d jackknife | JACKKNIFE | MEDICINE, RESEARCH & EXPERIMENTAL | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | MEDICAL INFORMATICS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | STATISTICS & PROBABILITY
Journal Article
Communications in Statistics - Theory and Methods, ISSN 0361-0926, 2019, pp. 1 - 19
Journal Article
Management Science, ISSN 0025-1909, 10/2010, Volume 56, Issue 10, pp. 1833 - 1848
Journal Article
Canadian journal of statistics, ISSN 0319-5724, 01/2012, Volume 40, Issue 1, pp. 110 - 123
It is known that the profile empirical likelihood method based on estimating equations is computationally intensive when the number of nuisance parameters is... 
Jackknife method
Journal Article
Annals of Statistics, ISSN 0090-5364, 06/2018, Volume 46, Issue 3, pp. 1138 - 1166
Quantile regression allows for broad (conditional) characterizations of a response distribution beyond conditional means and is of increasing interest in... 
Tapering | Value at risk | Moving blocks | Kernel smoothing | Jackknife after bootstrap | value at risk | JACKKNIFE | MODELS | jackknife after bootstrap | RISK | STATISTICS & PROBABILITY | tapering | ERROR | moving blocks | INFERENCE
Journal Article
Journal of Econometrics, ISSN 0304-4076, 04/2015, Volume 185, Issue 2, pp. 332 - 342
We present a new jackknife estimator for instrumental variable inference with unknown heteroskedasticity. It weighs observations such that many-instruments... 
Instrumental variables | Many instruments | Heteroskedasticity | Jackknife | NUMBER | MOMENT CONDITIONS | APPROXIMATIONS | Many-instruments | INFERENCE | JIVE | GENERALIZED-METHOD | DISTRIBUTIONS | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | WEAK INSTRUMENTS | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS
Journal Article
WATER RESOURCES RESEARCH, ISSN 0043-1397, 01/1999, Volume 35, Issue 1, pp. 233 - 241
Correlation and correlation-based measures (e.g., the coefficient of determination) have been widely used to evaluate the "goodness-of-fit" of hydrologic and... 
JACKKNIFE | ENVIRONMENTAL SCIENCES | BOOTSTRAP | SEARCH | CLIMATE-CHANGE | WATER RESOURCES | LIMNOLOGY
Journal Article
Communications in Statistics: Simulation and Computation, ISSN 0361-0918, 2019, pp. 1 - 17
Journal Article
Ecological Modelling, ISSN 0304-3800, 11/2013, Volume 269, pp. 9 - 17
Algorithms for producing ecological niche models and species distribution models are widely applied in biogeography and conservation biology. However, in some... 
Species distribution model | Ecological niche model | Maxent | Feature class | Jackknife | Tuning | TESTS | NUMBERS | BIAS | PERFORMANCE | IMPLEMENTATION | CONSERVATION | GEOGRAPHIC DISTRIBUTIONS | ECOLOGY | SELECTION | Environmental aspects | Museums | Models | Niche (Ecology) | Analysis
Journal Article
Molecular Ecology Resources, ISSN 1755-098X, 07/2008, Volume 8, Issue 4, pp. 753 - 756
ldne is a program with a Visual Basic interface that implements a recently developed bias correction for estimates of effective population size (Ne) based on... 
jackknife | genetics | Ne/N ratio | bias | precision | Genetics | N ratio | Precision | Bias | Jackknife | EVOLUTIONARY BIOLOGY | N-e/N ratio | BIOCHEMISTRY & MOLECULAR BIOLOGY | ECOLOGY | SAMPLES
Journal Article
2012, Selected Works in Probability and Statistics, ISBN 1461413133, Volume 7, Issue 1, 31
We discuss a number of resampling schemes in which m = o(n) observations are resampled. We review nonparametric bootstrap failure and give results old and new... 
Statistical Theory and Methods | Statistics | Bootstrap | Parametric | Nonparametric | Asymptotic | Testing | JACKKNIFE | CONFIDENCE-REGIONS | MODELS | asymptotic | parametric | testing | EXPANSION | STATISTICS & PROBABILITY | bootstrap | nonparametric
Book Chapter
Experiments in Fluids, ISSN 0723-4864, 1996, Volume 22, Issue 2, pp. 129 - 136
Methods for calculating the statistical uncertainty associated with the sampling of random processes such as those which occur in turbulence research are... 
JACKKNIFE | MECHANICS | ENGINEERING, MECHANICAL
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 04/2018, Volume 120, pp. 58 - 69
The one-sample quantile difference measure, which includes the interquartile range (IQR) of a given distribution, plays an important role in statistical... 
Difference of two quantiles | Jackknife | Smoothed jackknife EL | STATISTICS & PROBABILITY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | CONFIDENCE-INTERVALS | Income distribution | Analysis | Algorithms
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 2014, Volume 15, Issue 1, pp. 1625 - 1651
We study the variability of predictions made by bagged learners and random forests, and show how to estimate standard errors for these methods. Our work builds... 
Monte Carlo noise | Variance estimation | Bagging | Jackknife methods | STANDARD ERRORS | jackknife methods | TREES | variance estimation | ESTIMATORS | BIAS | bagging | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | CLASSIFIERS
Journal Article
Remote Sensing of Environment, ISSN 0034-4257, 09/2012, Volume 124, pp. 108 - 121
Air surface temperature (T ) is an important parameter for a wide range of applications such as vector-borne disease bionomics, hydrology and climate change... 
Statistical modeling | Jackknife | Average air temperature | Bootstrap | Land surface temperature | LST | Portugal | MODIS | Remote sensing | ALGORITHM | VALIDATION | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | EMISSIVITY | ENERGY-BALANCE | ENVIRONMENTAL SCIENCES | MODELS | WHEAT CANOPY | PRODUCTS | VECTORS | Hydrology | Analysis
Journal Article
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