High-level numerical simulations of noise in CCD and CMOS photosensors: review and tutorial
In many applications, such as development and testing of image processing algorithms, it is
often necessary to simulate images containing realistic noise from solid-state photosensors …
often necessary to simulate images containing realistic noise from solid-state photosensors …
An overview on parametric quantile regression models and their computational implementation with applications to biomedical problems including COVID-19 data
Quantile regression allows us to estimate the relationship between covariates and any
quantile of the response variable rather than the mean. Recently, several statistical …
quantile of the response variable rather than the mean. Recently, several statistical …
[КНИГА][B] Art of progressive censoring
N Balakrishnan, E Cramer - 2014 - Springer
Practitioners and statisticians are often faced with incomplete or censored data. In life
testing, censored samples are present whenever the experimenter does not observe the …
testing, censored samples are present whenever the experimenter does not observe the …
Learning for video compression with recurrent auto-encoder and recurrent probability model
The past few years have witnessed increasing interests in applying deep learning to video
compression. However, the existing approaches compress a video frame with only a few …
compression. However, the existing approaches compress a video frame with only a few …
[КНИГА][B] A guide to chi-squared testing
PE Greenwood, MS Nikulin - 1996 - books.google.com
The first step-by-step guide to conducting successful Chi-squaredtests Chi-squared testing
is one of the most commonly applied statisticaltechniques. It provides reliable answers for …
is one of the most commonly applied statisticaltechniques. It provides reliable answers for …
[КНИГА][B] Handbook of statistical distributions with applications
K Krishnamoorthy - 2006 - taylorfrancis.com
In the area of applied statistics, scientists use statistical distributions to model a wide range
of practical problems, from modeling the size grade distribution of onions to modeling global …
of practical problems, from modeling the size grade distribution of onions to modeling global …
[КНИГА][B] Statistical modelling with quantile functions
W Gilchrist - 2000 - taylorfrancis.com
Galton used quantiles more than a hundred years ago in describing data. Tukey and Parzen
used them in the 60s and 70s in describing populations. Since then, the authors of many …
used them in the 60s and 70s in describing populations. Since then, the authors of many …
Progressive censoring methodology: an appraisal
N Balakrishnan - Test, 2007 - Springer
Abstract Properties of progressively censored order statistics and inferential procedures
based on progressively censored samples have recently attracted considerable attention in …
based on progressively censored samples have recently attracted considerable attention in …
[КНИГА][B] A primer on statistical distributions
N Balakrishnan, VB Nevzorov - 2004 - books.google.com
Designed as an introduction to statistical distribution theory.* Includes a first chapter on
basic notations and definitions that are essential to working with distributions.* Remaining …
basic notations and definitions that are essential to working with distributions.* Remaining …
Extracting top-k insights from multi-dimensional data
OLAP tools have been extensively used by enterprises to make better and faster decisions.
Nevertheless, they require users to specify group-by attributes and know precisely what they …
Nevertheless, they require users to specify group-by attributes and know precisely what they …