Call for paper
International Statistical Methods for Analyzing Engineering Data Original Articles/papers are invited from Industry Persons, Scientist, Academician, Research Scholars, P.G. & U.G. Students for presentation in our International Conference. All articles/papers must be in MS-Word (.doc or .docx) format, including the title, author's name, an affiliation of all authors, e-mail, abstract, keywords, Conclusion, Acknowledgment, and References.
Submit Abstract
The Candidates with eligibility can click the "Submit Paper/Abstract Now" button and fill up the online submission form and Submit it.
Abstract/Full Paper submission
Final/Full Paper submission is optional: If you don't want your abstract/full paper to be published in the Conference Abstracts & Proceedings CD (with ISBN number) and only want to present it at the conference, it is acceptable.
Page limit: There is a limit of 6-8 pages for a final/full paper. An additional page is chargeable.
Paper language: Final/Full papers should be in English.
Templates: "Final paper template," "Final abstract template"
All the final papers should be uploaded to the website online system according to "the final paper template" as word doc. or docx since this will be the camera-ready published version. Please note that final papers that are not uploaded to the online System as a word doc./docx after the opening of final paper submissions according to the template above will not be published in the CONFERENCE Abstracts & Proceedings CD (with ISBN number)
All accepted papers will be included in the conference proceedings, which will be published in one of the author's prescribed ResearchW journals.
Subject Tracks
Introduction to statistics and probability | Descriptive statistics | Probability distributions | Estimation and hypothesis testing | Simple linear regression analysis | Multiple linear regression analysis | Analysis of variance (ANOVA) | Design of experiments (DOE) | Statistical process control (SPC) | Quality control and Six Sigma | Non-parametric statistical methods | Time series analysis | Bayesian statistics | Monte Carlo simulation | Reliability analysis | Introduction to statistical methods and data analysis | Descriptive statistics: measures of central tendency and dispersion | Probability theory and distributions | Hypothesis testing: one-sample and two-sample tests | Regression analysis: simple and multiple regression, model building, and diagnostics | Nonparametric methods: rank tests and correlation | Quality control: acceptance sampling, attribute control charts, and continuous improvement | Time series analysis: autocorrelation, trend analysis, and forecasting