Zobrazeno 1 - 10
of 66
pro vyhledávání: '"William I. Notz"'
This 1998 book describes the sampling and statistical methods used most often by behavioral ecologists and field biologists. Written by a biologist and two statisticians, it provides a rigorous discussion together with worked examples of statistical
Publikováno v:
Springer Series in Statistics ISBN: 9781493988457
This chapter discusses sensitivity analysis and the related topic of variable screening. The setup is as follows. A vector of inputs \(\boldsymbol{x} = (x_{1},\ldots,x_{d})\) is given which potentially affects a “response” function \(y(\boldsymbo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c8740788864d2ad719ebae46c26974e
https://doi.org/10.1007/978-1-4939-8847-1_7
https://doi.org/10.1007/978-1-4939-8847-1_7
Publikováno v:
Springer Series in Statistics ISBN: 9781493988457
Springer Series in Statistics ISBN: 9781441929921
Springer Series in Statistics ISBN: 9781441929921
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76594d5658e8178e3133fc3714d36045
https://doi.org/10.1007/978-1-4939-8847-1
https://doi.org/10.1007/978-1-4939-8847-1
Publikováno v:
Springer Series in Statistics ISBN: 9781493988457
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34e9020e568563d9342130418b3ea4cb
https://doi.org/10.1007/978-1-4939-8847-1_8
https://doi.org/10.1007/978-1-4939-8847-1_8
Publikováno v:
Springer Series in Statistics ISBN: 9781493988457
Recall from Chap. 1 that \(\boldsymbol{x}\) denotes a generic input to our computer simulator and \(y(\boldsymbol{x})\) denotes the associated output. This chapter will introduce several classes of random function models for \(y(\boldsymbol{x})\) tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5118b8738ed5706046d5e78c6d629f32
https://doi.org/10.1007/978-1-4939-8847-1_2
https://doi.org/10.1007/978-1-4939-8847-1_2
Publikováno v:
Springer Series in Statistics ISBN: 9781493988457
This chapter and Chap. 4 discuss techniques for predicting output for a computer simulator based on “training” runs from the model. Knowing how to predict computer output is a prerequisite for answering most practical research questions that invo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41a1060e06e63b5bd776b70f2a0cc943
https://doi.org/10.1007/978-1-4939-8847-1_3
https://doi.org/10.1007/978-1-4939-8847-1_3
Publikováno v:
Springer Series in Statistics ISBN: 9781493988457
In Chap. 3 the correlation and precision parameters are completely unknown for the process model assumed to generate simulator output. In contrast this chapter assumes that the researcher has prior knowledge about the unknown parameters that is quant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7147089cf36c6cfcce32579c81368691
https://doi.org/10.1007/978-1-4939-8847-1_4
https://doi.org/10.1007/978-1-4939-8847-1_4
Autor:
Yulei Zhang, William I. Notz
Publikováno v:
Quality Engineering. 27:2-13
This article reviews and reexamines approaches to modeling computer experiments with qualitative and quantitative input variables.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79c0b2a8635f45d13aff7a49e2e40e1b
https://doi.org/10.1080/08982112.2015.968039
https://doi.org/10.1080/08982112.2015.968039
Autor:
William I. Notz
Publikováno v:
Applied Stochastic Models in Business and Industry. 31:198-200
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9df09d83833a77a6633ecef7bcc482c
https://doi.org/10.1002/asmb.2083
https://doi.org/10.1002/asmb.2083
Autor:
William I. Notz
Publikováno v:
Quality Engineering. 24:193-200
In this article, the author reviews recent advances in how we teach our introductory statistics courses.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0155bcc2419cd67085cfbbf8b60290b
https://doi.org/10.1080/08982112.2012.641145
https://doi.org/10.1080/08982112.2012.641145