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scale and shape
Results: 148

#	Item
81	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: cran.csiro.au Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
82	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: cran.wustl.edu Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
83	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: cran.hafro.is Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
84	PDF Document Add to Reading List Source URL: www.england.nhs.uk Language: English - Date: 2013-08-13 12:10:45 Health NHS England Obsessive–compulsive disorder Body dysmorphic disorder Body shape Human appearance Yale–Brown Obsessive Compulsive Scale National Institute for Health and Clinical Excellence Cognitive behavioral therapy National Health Service Psychiatry Medicine
85	Spatial aliasing and scale invariance Jon Claerbout Landforms are not especially predictable. Therefore, crude PEF approximations are often satisfactory. Wavefields are another matter. Consider the “shape” of the aco Add to Reading List Source URL: www.reproducibility.org Language: English - Date: 2013-11-11 23:04:57 Fula language Jan Willem Klop Latin alphabets Orthography Fula alphabets
86	Extreme Value Statistics Assignments #2 July 9, A return level for probability p is defined as the quantile zp such that G(zp ) = p. Give the expression for zp as a function of location, scale and shape parameter Add to Reading List Source URL: www.agnld.uni-potsdam.de Language: English - Date: 2007-07-09 06:45:39 Normal distribution Q-Q plot Emacs Scale parameter Maxima Generalized extreme value distribution Software Statistics Gumbel distribution
87	Chapter 19 Herbarium Collections and Photographic Images: Alternative Data Sources for Phenological Research Fran MacGillivray, Irene L. Hudson, and Andrew J. Lowe Add to Reading List Source URL: tern.org.au Language: English - Date: 2012-09-20 00:52:39 Biology Ecology Phenology Herbarium Spring Virtual herbarium Generalized additive model for location scale and shape State Herbarium of South Australia Time Herbaria Statistics Climatology
88	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: ftp.yz.yamagata-u.ac.jp Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
89	Nonparametric Scene Parsing: Label Transfer via Dense Scene Alignment Ce Liu Jenny Yuen Antonio Torralba Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology {celiu,jenny,torralb Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2009-04-02 17:34:24 Optics Image processing Object recognition Template matching Shape context LabelMe Segmentation Optical flow Scale-invariant feature transform Computer vision Vision Imaging
90	3rd AGILE Conference on Geographic Information Science – Helsinki/Espoo, Finland, May 25th – 27th, 2000 Moment Invariants as a Classification Tool for Cartographic Shapes on Large-Scale Maps. Laura Keyes and Adam W Add to Reading List Source URL: itcnt05.itc.nl Language: English - Date: 2005-02-14 17:00:00 Optics Invariant Object recognition Shape Image moment Topography Feature Computer vision Vision Imaging

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