Statistical Principles for the Design of Experiments: Applications to Real Experiments

[1]  Steven G Gilmour,et al.  Response Surface Designs for Experiments in Bioprocessing , 2006, Biometrics.

[2]  Luiz Paulo Fávero,et al.  Design and Analysis of Experiments , 2001, Handbook of statistics.

[3]  Raya Khanin,et al.  Near‐optimal designs for dual channel microarray studies , 2005 .

[4]  Steven G. Gilmour,et al.  Fractional polynomial response surface models , 2005 .

[5]  Steven G. Gilmour,et al.  Large supersaturated designs , 2004 .

[6]  D. B. MacDougall,et al.  Optimisation of high temperature puffing of potato cubes using response surface methodology , 2004 .

[7]  Steven G. Gilmour,et al.  Multistratum Response Surface Designs , 2001, Technometrics.

[8]  G. Churchill,et al.  Statistical design and the analysis of gene expression microarray data. , 2001, Genetical research.

[9]  Steven G. Gilmour,et al.  An algorithm for arranging response surface designs in small blocks , 2000 .

[10]  R. N. Edmondson,et al.  Trojan square and incomplete Trojan square designs for crop research , 1998, The Journal of Agricultural Science.

[11]  Brian R. Cullis,et al.  Accounting for natural and extraneous variation in the analysis of field experiments , 1997 .

[12]  R. N. Edmondson,et al.  FRACTIONAL FACTORIAL DESIGNS FOR FACTORS WITH A PRIME NUMBER OF QUANTITATIVE LEVELS , 1994 .

[13]  P. Royston,et al.  Regression using fractional polynomials of continuous covariates: parsimonious parametric modelling. , 1994 .

[14]  P. McCullagh,et al.  Generalized Linear Models , 1992 .

[15]  J. Cornell,et al.  Experiments with Mixtures , 1992 .

[16]  J. Nelder Generalized linear models for enzyme-kinetic data. , 1991, Biometrics.

[17]  Brian R. Cullis,et al.  Spatial analysis of field experiments : an extension to two dimensions , 1991 .

[18]  Brian R. Cullis,et al.  Efficiency of neighbour analysis for replicated variety trials in Australia , 1989, The Journal of Agricultural Science.

[19]  Noel A Cressie,et al.  A Transformation/Weighting Model for Estimating Michaelis-Menten Parameters, , 1989 .

[20]  Brian R. Cullis,et al.  Residual maximum likelihood (REML) estimation of a neighbour model for field experiments , 1987 .

[21]  Julian Besag,et al.  Statistical Analysis of Field Experiments Using Neighbouring Plots , 1986 .

[22]  N. R. Cox,et al.  Use of statistical evidence in some recent issues of DSIR agricultural journals , 1984 .

[23]  R. A. Bailey The Decomposition of Treatment Degrees of Freedom in Quantitative Factorial Experiments , 1982 .

[24]  R. Kempton,et al.  The Use of Neighbouring Plot Values in the Analysis of Variety Trials , 1981 .

[25]  G. H. Freeman Some Two‐Dimensional Designs Balanced for Nearest Neighbours , 1979 .

[26]  M. Hills,et al.  The two-period cross-over clinical trial. , 1979, British journal of clinical pharmacology.

[27]  P. Sparrow Nitrogen response curves of spring barley , 1979, The Journal of Agricultural Science.

[28]  Pocock Sj,et al.  Allocation of patients to treatment in clinical trials. , 1979 .

[29]  G. Dyke,et al.  Serial designs balanced for effects of neighbours on both sides , 1976, The Journal of Agricultural Science.

[30]  S. Pearce Row-And-Column Designs , 1975 .

[31]  D. Reid The effects of the long-term application of a wide range of nitrogen rates on the yields from perennial ryegrass swards with and without white clover , 1972, The Journal of Agricultural Science.

[32]  H. D. Patterson,et al.  Recovery of inter-block information when block sizes are unequal , 1971 .

[33]  A. A. Rayner,et al.  A First Course in Biometry for Agriculture Students , 1970 .

[34]  G. N. Wilkinson A general recursive procedure for analysis of variance , 1970 .

[35]  J. Bleasdale Systematic Designs for Spacing Experiments , 1967, Experimental Agriculture.

[36]  J. A. Nelder,et al.  Inverse Polynomials, a Useful Group of Multi-Factor Response Functions , 1966 .

[37]  S. G. Carmer,et al.  An Exponential Model for Predicting Optimum Plant Density and Maximum Corn Yield1 , 1965 .

[38]  G. Box,et al.  Transformation of the Independent Variables , 1962 .

[39]  J. A. Neldee New Kinds of Systematic Designs for Spacing Experiments , 1962 .

[40]  R. Curnow Optimal Programmes for Varietal Selection , 1961 .

[41]  D. R. Cox,et al.  Planning of Experiments. , 1959 .

[42]  M. Sobel,et al.  Group testing to eliminate efficiently all defectives in a binomial sample , 1959 .

[43]  I. Bross Sequential clinical trials. , 1958, Journal of chronic diseases.

[44]  N. Gilbert,et al.  The Trojan square , 1958, Euphytica.

[45]  R. M. Williams EXPERIMENTAL DESIGNS FOR SERIALLY CORRELATED OBSERVATIONS , 1952 .

[46]  R. Dorfman The Detection of Defective Members of Large Populations , 1943 .

[47]  F. Yates A new method of arranging variety trials involving a large number of varieties , 1936, The Journal of Agricultural Science.

[48]  Steven G. Gilmour,et al.  A general method of constructing E(s2)‐optimal supersaturated designs , 2001 .

[49]  J. John,et al.  Cyclic and Computer Generated Designs , 1995 .

[50]  M. Karim Generalized Linear Models With Random Effects , 1991 .

[51]  A. Seheult,et al.  Analysis of Field Experiments by Least Squares Smoothing , 1985 .

[52]  P. M. Morse,et al.  Presentation of experimental results , 1981 .

[53]  H. D. Patterson,et al.  A new class of resolvable incomplete block designs , 1976 .

[54]  D. J. Greenwood,et al.  Systematically arranged fertilizer experiments. , 1970 .

[55]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[56]  B. A. Rojas The San Cristobal design for fertilizer experiments. , 1963 .

[57]  W. Parry Ergodic properties of some permutation processes , 1962 .

[58]  L. Corsten Vectors, a tool in statistical regression theory , 1958 .

[59]  R. A. Fisher,et al.  Statistical Tables for Biological, Agricultural and Medical Research , 1956 .

[60]  William G. Cochran,et al.  Experimental Designs, 2nd Edition , 1950 .