Business, Industry and Government (BIG) Statistics: Applied Stochastic Models in Business and Industry: Vol 22, No 5-6

I consent to Wiley Online Library’s Terms of Use and processing of my personal data as disclosed in Wiley’s Privacy Policy.I consent to my personal information being transferred outside of the People’s Republic of China as laid out in Wiley’s Privacy Policy.*(Optional) I consent to special offers, newsletter & promotions from Wiley. See Privacy Policy for more details.

Tools

Submit an article

Journal Metrics

Subscribe to this journal

Special Issue on New Frontiers in Reliability and Risk Analysis: A Tribute to Nozer Darabsha Singpurwalla promotional image

Applied Stochastic Models in Business and Industry

Journal list menu

Tools

Follow journal

Applied Stochastic Models in Business and Industry: Volume 22, Issue 5-6

Special Issue:Business, Industry and Government (BIG) Statistics

Editorials

Special issue on Business, Industry and Government (BIG) Statistics

Research Articles

Science, engineering, and statistics

Damping factor in Google page ranking

Slope rotatability over all directions with correlated errors

Statistical modelling for process control in the sawmill industry

Statistical control for sampling of metallurgical material

Variable second-order inclusion probabilities during the sampling of industrial mixtures of particles

Controlling-dependent process steps using variable sample size control charts

Colour harmonization in car manufacturing processes

Quick multivariate kernel density estimation for massive data sets

Mixture distribution-based forecasting using stochastic volatility models

Bayesian predictive inference under informative sampling and transformation

Interaction between stock indices via changepoint analysis

Examining the effects of customer service management (CSM) on perceived business performance via structural equation modelling

On goodness-of-fit for homogeneity and proportional hazards

Measurement error bias in pharmaceutical cost-effectiveness analysis

Experimental designs for 2-colour cDNA microarray experiments

Call for Papers

Special Issue on ‘Statistical Models for e-Business’ Applied Stochastic Models in Business and Industry

Tools

More from this journal

About Wiley Online Library

Help & Support

Opportunities

Connect with Wiley

Applied Stochastic Models in Business and Industry

Journal list menu

Tools

Follow journal

Applied Stochastic Models in Business and Industry: Volume 22, Issue 5-6

Special Issue:Business, Industry and Government (BIG) Statistics

Download PDFs

Editorials

Special issue on Business, Industry and Government (BIG) Statistics

Research Articles

Science, engineering, and statistics

Damping factor in Google page ranking

Slope rotatability over all directions with correlated errors

Statistical modelling for process control in the sawmill industry

Statistical control for sampling of metallurgical material

Variable second-order inclusion probabilities during the sampling of industrial mixtures of particles

Controlling-dependent process steps using variable sample size control charts

Colour harmonization in car manufacturing processes

Quick multivariate kernel density estimation for massive data sets

Mixture distribution-based forecasting using stochastic volatility models

Bayesian predictive inference under informative sampling and transformation

Interaction between stock indices via changepoint analysis

Examining the effects of customer service management (CSM) on perceived business performance via structural equation modelling

On goodness-of-fit for homogeneity and proportional hazards

Measurement error bias in pharmaceutical cost-effectiveness analysis

Experimental designs for 2-colour cDNA microarray experiments

Call for Papers

Special Issue on ‘Statistical Models for e-Business’ Applied Stochastic Models in Business and Industry

Sign up for email alerts

Tools

More from this journal