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Shape analysis
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#	Item
251	Bookmarks Set for Section & Figure Views Features of Derivative Continuity in Shape PHILIP F. HENSHAW 167 W 87th St New York NY 10024 Add to Reading List Source URL: www.synapse9.com Language: English - Date: 2013-09-09 18:17:12 Time series analysis Signal processing Computer vision Normal distribution Random walk Smoothing Scale space Derivative Variance Statistics Data analysis Image processing
252	Statistical shape analysis of tuber roots: a methodological case study on laser scanned sugar beets Benedikt Wirth1 , Stefan Paulus2 , Kai Schmidt3 , Heiner Kuhlmann2 , Martin Rumpf1 , and Heiner Goldbach3 1 Add to Reading List Source URL: numod.ins.uni-bonn.de Language: English - Date: 2012-05-25 08:58:41 Data analysis Singular value decomposition Sugar Sweeteners Image processing Sugar beet Beet Variance Eigenvalues and eigenvectors Statistics Algebra Mathematics
253	Height Investigation Solutions TASK A - Shape of Distributions a) Children tend to round their heights to the nearest 5 cm. b) The distribution for girls’ heights is slightly positively skewed whereas the distribution Add to Reading List Source URL: www.censusatschool.org.uk Language: English - Date: 2013-02-25 11:35:29 Robust statistics Statistical theory Box plot Standard deviation Variance Outlier Statistic Normal distribution Sample maximum and minimum Statistics Data analysis Summary statistics
254	Describing the Shapes of Frequency Distributions This document is intended to help beginning students in statistics learn a little bit about the shapes of frequency distributions and how to describe them. For each of se Add to Reading List Source URL: core.ecu.edu Language: English - Date: 2015-02-13 16:48:33 Data analysis Mode Skewness Bimodal distribution Shape of the distribution Normal distribution Frequency distribution Box plot Unimodality Statistics Summary statistics Kurtosis
255	Contingency Tables With Ordinal Variables David Howell presents a nice example of how to modify the usual Pearson 2 analysis if you wish to take into account the fact that one (or both) of your classification variables Add to Reading List Source URL: core.ecu.edu Language: English - Date: 2014-11-01 19:16:00 Parametric statistics Estimation theory Nutrition Linear Escalator Obesity Overweight Stairway Chi-squared test Statistics Body shape Regression analysis
256	2014 Nutrition Country Profile www.globalnutritionreport.org Global ECONOMICS AND DEMOGRAPHY Add to Reading List Source URL: globalnutritionreport.org Language: English - Date: 2014-12-01 09:11:20 Nutrition Mathematical analysis Obesity Humanitarian aid Weighted mean Body mass index Mean Overweight Malnutrition Health Medicine Body shape
257	ShapeWorks Particle-based Shape Correspondence and Visualization Software Joshua Cates, Manasi Datar, P Thomas Fletcher and Ross Whitaker Scientific Computing and Imaging Institute University of Utah Salt Lake City, USA Add to Reading List Source URL: www.sci.utah.edu Language: English - Date: 2014-02-02 12:05:22 Compiling tools CMake Application software Computer representation of surfaces Mathematical optimization Principal component analysis Software Statistics Build automation
258	Medial Axis Representations for the Analysis of Human Shape in Images Charlie Kemp The Problem: Since the 1960’s researchers have observed that biological shape can be usefully described in terms of medial axes [1]. U Add to Reading List Source URL: www.ai.mit.edu Language: English - Date: 2000-10-25 11:23:59 Medial axis Medial Computer graphics
259	Happy Families 1 Mr Linear is a family man. His mathematical name is y = x or f(x) = x. Using desmos.com type in his name and have a look at his shape. Mrs Linear is called y = x + 1 and their children are y = x + 2, y Add to Reading List Source URL: www.aucklandmaths.org.nz Language: English - Date: 2014-04-10 05:34:24 Elementary mathematics Function Mathematical analysis Differential calculus Asymptote Derivative Mathematics Functions and mappings Analytic geometry
260	Peer reviewed conference paper, final version, in print Proc. SPIE 2012, to appear Feb. 4, 2012 A framework for longitudinal data analysis via shape regression James Fishbaugha , Stanley Durrlemana , Joseph Pivenb for th Add to Reading List Source URL: www.sci.utah.edu Language: English - Date: 2012-02-02 16:57:21 Linear regression Autism spectrum Kernel regression Statistics Regression analysis Econometrics

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