Clustering methodologies in exploratory data analysis

R Dubes, AK Jain - Advances in computers, 1980 - Elsevier
Publisher Summary This chapter reviews cluster analysis and related topics or the formal
study of classification schemata, whereby objects are grouped, or clustered, according to …

[HTML][HTML] Spatiotemporal pattern of COVID-19 and government response in South Korea (as of May 31, 2020)

S Kim, MC Castro - International Journal of Infectious Diseases, 2020 - Elsevier
Objectives The aim of this study was to assess how coronavirus disease 2019 (COVID-19)
clustered across districts in South Korea and to assess whether the pattern and duration of …

Spatial distribution characteristics of the COVID-19 pandemic in Beijing and its relationship with environmental factors

Y Han, L Yang, K Jia, J Li, S Feng, W Chen… - Science of the Total …, 2021 - Elsevier
Investigating the spatial distribution characteristics of the coronavirus disease 2019 (COVID-
19) and exploring the influence of environmental factors that drive it is the basis for …

[图书][B] Statistical analysis of spatial and spatio-temporal point patterns

PJ Diggle - 2013 - books.google.com
Written by a prominent statistician and author, the first edition of this bestseller broke new
ground in the then emerging subject of spatial statistics with its coverage of spatial point …

[图书][B] Permutation tests: a practical guide to resampling methods for testing hypotheses

P Good - 2013 - books.google.com
In 1982, I published several issues of a samdizat scholarly journal called Random ization
with the aid of an 8-bit, I-MH personal computer with 48K of memory (upgraded to 64K later …

[图书][B] Stochastic geometry and its applications

SN Chiu, D Stoyan, WS Kendall, J Mecke - 2013 - books.google.com
An extensive update to a classic text Stochastic geometry and spatial statistics play a
fundamental role in many modern branches of physics, materials sciences, engineering …

[图书][B] Randomization, bootstrap and Monte Carlo methods in biology

BFJ Manly - 2018 - taylorfrancis.com
Modern computer-intensive statistical methods play a key role in solving many problems
across a wide range of scientific disciplines. This new edition of the bestselling …

Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems

JC Helton, FJ Davis - Reliability Engineering & System Safety, 2003 - Elsevier
The following techniques for uncertainty and sensitivity analysis are briefly summarized:
Monte Carlo analysis, differential analysis, response surface methodology, Fourier …

Spatial disease clusters: detection and inference

M Kulldorff, N Nagarwalla - Statistics in medicine, 1995 - Wiley Online Library
We present a new method of detection and inference for spatial clusters of a disease. To
avoid ad hoc procedures to test for clustering, we have a clearly defined alternative …

[图书][B] Applied spatial statistics for public health data

LA Waller, CA Gotway - 2004 - books.google.com
While mapped data provide a common ground for discussions between the public, the
media, regulatory agencies, and public health researchers, the analysis of spatially …