Simple diagnostic tools for inverstigating linear trends in time series

DOI10.1080/03610929608831781zbMath0900.62076OpenAlexW2031453999MaRDI QIDQ4337225

Palaniappan Vellaisamy

Publication date: 12 November 1998

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929608831781

zbMATH Keywords

Poisson approximationsPoisson's binomial distributiongeneralized binomial distributionsdependent Bernoulli trials

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Characterization and structure theory of statistical distributions (62E10)

Related Items (7)

Effects of correlation on fraction non-conforming statistical process control procedures ⋮ On the negative binomial distribution and its generalizations ⋮ A start-up demonstration procedure involving dependent tests ⋮ On the generalization of negative binomial distribution. ⋮ The limit theorems for a previous \(k\)-sum dependent model ⋮ Limit theorems for a correlated moving window model ⋮ A unified approach for modeling and designing attribute sampling plans for monitoring dependent production processes

Cites Work

• Unnamed Item
• Estimation of the degree of differencing of an ARIMA process
• Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root
• Moments of the Ratio of the Mean Square Successive Difference to the Mean Square Difference in Samples From a Normal Universe
• The Mean Square Successive Difference
• Distribution of the Ratio of the Mean Square Successive Difference to the Variance

This page was built for publication: Simple diagnostic tools for inverstigating linear trends in time series