[图书][B] EnvStats: An R package for environmental statistics
SP Millard - 2013 - books.google.com
This book describes EnvStats, a new comprehensive R package for environmental statistics
and the successor to the S-PLUS module EnvironmentalStats for S-PLUS (first released in …
and the successor to the S-PLUS module EnvironmentalStats for S-PLUS (first released in …
Comprehensive review on waste generation modeling
R Šomplák, V Smejkalová, M Rosecký, L Szásziová… - Sustainability, 2023 - mdpi.com
Strategic plans for waste management require information on the current and future waste
generation as a primary data source. Over the years, various approaches and methods for …
generation as a primary data source. Over the years, various approaches and methods for …
Testing parameters of a gamma distribution for small samples
DK Bhaumik, K Kapur, RD Gibbons - Technometrics, 2009 - Taylor & Francis
The gamma distribution is relevant to numerous areas of application in the physical,
environmental, and biological sciences. The focus of this paper is on testing the shape …
environmental, and biological sciences. The focus of this paper is on testing the shape …
Tolerance: an R package for estimating tolerance intervals
DS Young - Journal of Statistical Software, 2010 - jstatsoft.org
The tolerance package for R provides a set of functions for estimating and plotting tolerance
limits. This package provides a wide-range of functions for estimating discrete and …
limits. This package provides a wide-range of functions for estimating discrete and …
Meta-analysis of rare binary adverse event data
DK Bhaumik, A Amatya, SLT Normand… - Journal of the …, 2012 - Taylor & Francis
We examine the use of fixed-effects and random-effects moment-based meta-analytic
methods for analysis of binary adverse-event data. Special attention is paid to the case of …
methods for analysis of binary adverse-event data. Special attention is paid to the case of …
Closed-form estimators for the gamma distribution derived from likelihood equations
It is well-known that maximum likelihood (ML) estimators of the two parameters in a gamma
distribution do not have closed forms. This poses difficulties in some applications such as …
distribution do not have closed forms. This poses difficulties in some applications such as …
Interval estimation of multicomponent stress–strength reliability based on inverse Weibull distribution
N Jana, S Bera - Mathematics and Computers in Simulation, 2022 - Elsevier
This paper considers interval estimation of stress–strength reliability of k-out-of-n system
when the stress and strength components follow inverse Weibull distributions. Besides the …
when the stress and strength components follow inverse Weibull distributions. Besides the …
Confidence limits for stress–strength reliability involving Weibull models
K Krishnamoorthy, Y Lin - Journal of Statistical Planning and Inference, 2010 - Elsevier
The problem of interval estimation of the stress–strength reliability involving two
independent Weibull distributions is considered. An interval estimation procedure based on …
independent Weibull distributions is considered. An interval estimation procedure based on …
A copula-based approach to account for dependence in stress-strength models
F Domma, S Giordano - Statistical Papers, 2013 - Springer
The focus of stress-strength models is on the evaluation of the probability R= P (Y< X) that
stress Y experienced by a component does not exceed strength X required to overcome it. In …
stress Y experienced by a component does not exceed strength X required to overcome it. In …
Estimation of field reliability based on aggregate lifetime data
Because of the exponential distribution assumption, many reliability databases recorded
data in an aggregate way. Instead of individual failure times, each aggregate data point is a …
data in an aggregate way. Instead of individual failure times, each aggregate data point is a …