Technometrics is a journal of
External links
[http://www.amstat.org/publications/TECH/ Home page on the American Statistical Association website]
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Chemometrics — is the science of extracting information from chemical systems by data driven means. It is a highly interfacial discipline, using methods frequently employed in core data analytic disciplines such as multivariate statistics, applied mathematics,… … Wikipedia
Folded normal distribution — The folded normal distribution is a probability distribution related to the normal distribution. Given a normally distributed random variable X with mean μ and variance σ2, the random variable Y = | X | has a folded normal distribution. Such a… … Wikipedia
Comparison of statistics journals — This is a comparison of peer reviewed scientific journals published in the field of statistics. Contents 1 General information 2 Impact, indexing, abstracting and reviewing 3 Notes 4 … Wikipedia
Outlier — This article is about the statistical term. For other uses, see Outlier (disambiguation). Figure 1. Box plot of data from the Michelson Morley Experiment displaying outliers in the middle column. In statistics, an outlier[1] is an observ … Wikipedia
Taguchi methods — are statistical methods developed by Genichi Taguchi to improve the quality of manufactured goods, and more recently also applied to biotechnology, [ Ravella Sreenivas Rao, C. Ganesh Kumar, R. Shetty Prakasham, Phil J. Hobbs (2008) The Taguchi… … Wikipedia
Sensitivity analysis — (SA) is the study of how the variation (uncertainty) in the output of a mathematical model can be apportioned, qualitatively or quantitatively, to different sources of variation in the input of a model Saltelli, A., Ratto, M., Andres, T.,… … Wikipedia
Stepwise regression — In statistics, stepwise regression includes regression models in which the choice of predictive variables is carried out by an automatic procedure. [Hocking, R. R. (1976) The Analysis and Selection of Variables in Linear Regression, Biometrics,… … Wikipedia
Restricted randomization — Many processes have more than one source of variation in them. In order to reduce variation in processes, these multiple sources must be understood, and that often leads to the concept of nested or hierarchical data structures. For example, in… … Wikipedia
Shayle R. Searle — Shayle Robert Searle Ph.D. (b. 1928) is Professor Emeritus of Biological Statistics at Cornell University. He is a leader in the field of linear and mixed models in statistics, and has published widely on the topics of linear models, mixed models … Wikipedia
Morris method — In applied statistics, the Morris method for global sensitivity analysis is a so called one step at a time method (OAT), meaning that in each run only one input parameter is given a new value. It facilitates a global sensitivity analysis by… … Wikipedia
