Author
Norman R. Drapery
Bio: Norman R. Drapery is an academic researcher. The author has contributed to research in topics: Missing data. The author has an hindex of 1, co-authored 1 publications receiving 21 citations.
Topics: Missing data
Papers
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TL;DR: In this paper, the estimation of missing values for a general design is described and discussed, and formulae are provided for two well-known, three factor, second order rotatable designs, with zero to six center points.
Abstract: The estimation of missing values for a general design is described and discussed. Formulae are provided for the estimation of missing values for two well-known, three factor, second order rotatable designs, with zero to six center points. A worked example illustrates the use of the formulae in the case of the cube plus octahedron plus one center point design.
22 citations
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TL;DR: A review of the literature of response surface methodology, emphasizing especially the practical applications of the method can be found in this article, where a comprehensive bibliography is also provided, with a focus on the application of the response surface strategy in chemistry and chemical engineering.
Abstract: Response surface methodology, an experimental strategy initially developed and described by Box and Wilson, has been employed with considerable success in a wide variety of situations, especially in the fields of chemistry and chemical engineering. It is the purpose of this paper to review the literature of response surface methodology, emphasizing especially the practical applications of the method. A comprehensive bibliography is included.
402 citations
TL;DR: In this article, a detailed examination of these statistics shows that two different types of influence are being measured and this is illustrated with examples derived from a set of data given by Mickey, Dunn, and Clark (1967).
Abstract: Statistics offered by Cook (1977) and Andrews and Pregibon (1978) purport to reveal influential observations in a regression analysis. Detailed examination of these statistics shows that two different types of influence are being measured and this is illustrated with examples derived from a set of data given by Mickey, Dunn, and Clark (1967). Recommendations are given for obtaining the best use of the statistics available.
158 citations
TL;DR: The authors proposed a two-stage test for the presence of two outliers or one outlier in two-way tables, where the test statistics are estimated by Monte Carlo generations, and approximations to the percentage points are suggested.
Abstract: Previous work by Gentleman and Wilk on outliers in two-way tables is summarized, and their statistic QK is discussed. Instead of a plot of QK values, we propose a two-stage test for the presence of two outliers or one outlier. Percentage points for the test statistics are estimated by Monte Carlo generations, and approximations to the percentage points are suggested. The 8 × 12 case is examined in detail and extensions to other cases are briefly discussed.
39 citations
TL;DR: In this article, the authors gave an iterative missing value procedure in which a simple correction is subtracted from each estimated missing value at each iteration, and they showed that it is advantageous to replace the simple correction by a multiple m of it, m > 1.
Abstract: Healy and Westmacott (1956) gave an iterative missing value procedure in which a simple correction is subtracted from each estimated missing value at each iteration. Experience has however shown that it is advantageous to replace the simple correction by a multiple m of it, m > 1. The multiplier m = n/E, where n is the number of units and E the number of error degrees of freedom in the absence of missing values, gives an exact solution in one step for most factorial analyses with one missing value; for other analyses, also, convergence is faster with m = n/E than with m = 1. The algebra of the general iterative procedure is given. Criteria for convergence are discussed.
33 citations