Birnbaum‐Saunders distribution: A review of models, analysis, and applications
N Balakrishnan, D Kundu - Applied Stochastic Models in …, 2019 - Wiley Online Library
Birnbaum and Saunders introduced a two‐parameter lifetime distribution to model the
fatigue life of a metal, subject to cyclic stress. Since then, extensive work has been done on …
fatigue life of a metal, subject to cyclic stress. Since then, extensive work has been done on …
Recent developments of control charts, identification of big data sources and future trends of current research
RG Aykroyd, V Leiva, F Ruggeri - Technological Forecasting and Social …, 2019 - Elsevier
Control charts are one of the principal tools to monitor dynamic processes with the aim of
rapid identification of changes in the behaviour of these processes. Such changes are …
rapid identification of changes in the behaviour of these processes. Such changes are …
[HTML][HTML] Effective monitoring of carbon emissions from industrial sector using statistical process control
The industrial sector is considered one of the fastest-growing sources of greenhouse gases,
due to the excessive consumption of energy required to cope with the growing production of …
due to the excessive consumption of energy required to cope with the growing production of …
On a partial least squares regression model for asymmetric data with a chemical application in mining
In chemometrical applications, covariates in regression models are often correlated, causing
a collinearity problem that can be solved by partial least squares (PLS) regression. In …
a collinearity problem that can be solved by partial least squares (PLS) regression. In …
Cokriging prediction using as secondary variable a functional random field with application in environmental pollution
Cokriging is a geostatistical technique that is used for spatial prediction when realizations of
a random field are available. If a secondary variable is cross-correlated with the primary …
a random field are available. If a secondary variable is cross-correlated with the primary …
Birnbaum-Saunders spatial regression models: Diagnostics and application to chemical data
F Garcia-Papani, V Leiva, MA Uribe-Opazo… - Chemometrics and …, 2018 - Elsevier
Geostatistical modelling is widely used to describe data with spatial dependence structure.
Such modelling often assumes a Gaussian distribution, an assumption which is frequently …
Such modelling often assumes a Gaussian distribution, an assumption which is frequently …
Robust multivariate control charts based on Birnbaum–Saunders distributions
Multivariate control charts are powerful and simple visual tools for monitoring the quality of a
process. This multivariate monitoring is carried out by considering simultaneously several …
process. This multivariate monitoring is carried out by considering simultaneously several …
Birnbaum–Saunders autoregressive conditional duration models applied to high-frequency financial data
Modern financial markets now record the precise time of each stock trade, along with price
and volume, with the aim of analysing the structure of the times between trading events …
and volume, with the aim of analysing the structure of the times between trading events …
A new BISARMA time series model for forecasting mortality using weather and particulate matter data
Abstract The Birnbaum–Saunders (BS) distribution is a model that frequently appears in the
statistical literature and has proved to be very versatile and efficient across a wide range of …
statistical literature and has proved to be very versatile and efficient across a wide range of …
Birnbaum–Saunders spatial modelling and diagnostics applied to agricultural engineering data
F Garcia-Papani, MA Uribe-Opazo, V Leiva… - … Research and Risk …, 2017 - Springer
Applications of statistical models to describe spatial dependence in geo-referenced data are
widespread across many disciplines including the environmental sciences. Most of these …
widespread across many disciplines including the environmental sciences. Most of these …