<--- Back to Details
First PageDocument Content
Regression analysis / Local regression / Kernel density estimation / Smoothing / Box plot / Kernel regression / Density estimation / Exploratory data analysis / Plot / Statistics / Non-parametric statistics / Data analysis
Date: 2014-09-26 11:20:16
Regression analysis
Local regression
Kernel density estimation
Smoothing
Box plot
Kernel regression
Density estimation
Exploratory data analysis
Plot
Statistics
Non-parametric statistics
Data analysis

Bin-summarise-smooth: A framework for visualising large data Hadley Wickham[removed]

Add to Reading List

Source URL: vita.had.co.nz

Download Document from Source Website

File Size: 358,40 KB

Share Document on Facebook

Similar Documents

Density-Difference Estimation Masashi Sugiyama1 Takafumi Kanamori2 Taiji Suzuki3 Marthinus Christoffel du Plessis1 Song Liu1 Ichiro Takeuchi4 1 Tokyo Institute of Technology, Japan 2 Nagoya University, Japan

DocID: 1v4XN - View Document

High-dimensional nonparametric density estimation via symmetry and shape constraints Min Xu∗and Richard J. Samworth† Wharton Business School, University of Pennsylvania and Statistical Laboratory, University of Cambr

DocID: 1uRdr - View Document

Linking losses for density ratio and class-probability estimation Aditya Krishna Menon Cheng Soon Ong Data61 and the Australian National University, Canberra, ACT, Australia

DocID: 1uL0D - View Document

Conditional Density Estimation by Penalized Likelihood Model Selection and Applications S. X. Cohen (IPANEMA / Synchrotron Soleil) and E. Le Pennec (SELECT / Inria Saclay - Île de France and Université Paris Sud) July

DocID: 1uGIO - View Document

Assignment of Dynamic Transmission Range Based on Estimation of Vehicle Density Maen M. Artimy William Robertson

DocID: 1ubNo - View Document