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Analysis of variance.

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#SBIB:303H520 --- regressie-analyse --- wiskundige statistiek --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Analysis of covariance. --- Analysis of variance. --- Analysis of covariance --- Analysis of variance --- ANOVA (Analysis of variance) --- Variance analysis --- Mathematical statistics --- Experimental design --- Covariance analysis --- Regression analysis

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This book is a practical guide to help researchers draw valid causal inferences from small-scale clinical intervention studies. It should be of interest to teachers of, and students in, courses with an experimental clinical component, as well as clinical researchers. Inferential statistics used in the analysis of group data are frequently invalid for use with data from single-case experimental designs. Even non-parametric rank tests provide, at best, approximate solutions for only some single-case (and small-'n' ) designs. Randomization (Exact) tests, on the other hand, can provide valid statistical analyses for all designs that incorporate a random procedure for assigning treatments to subjects or observation periods, including single-case designs. These Randomization tests require large numbers of data rearrangements and have been seldom used, partly because desktop computers have only recently become powerful enough to complete the analyses in a reasonable time. Now that the necessary computational power is available, they continue to be under-used because they receive scant attention in standard statistical texts for behavioral researchers and because available programs for running the analyses are relatively inaccessible to researchers with limited statistical or computing interest. This book is first and foremost a practical guide, although it also presents the theoretical basis for Randomization tests. Its most important aim is to make these tests accessible to researchers for a wide range of designs. It does this by providing programs on CD-ROM that allow users to run analyses of their data within a standard package (Minitab, Excel, or SPSS) with which they are already familiar. No statistical or computing expertise is required to use these programs. This is the "new stats" for single-case and small-'n' intervention studies, and anyone interested in this research approach will benefit.

Experimental design. --- Statistical hypothesis testing. --- Experimental design --- Statistical hypothesis testing --- Hypothesis testing (Statistics) --- Significance testing (Statistics) --- Statistical significance testing --- Testing statistical hypotheses --- Distribution (Probability theory) --- Hypothesis --- Mathematical statistics --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Science --- Statistical decision --- Statistics --- Analysis of means --- Analysis of variance --- Experiments --- Methodology --- Statistiek (theorie) --- Tests (geneeskunde) --- Test (geneeskunde)

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Mathematical statistics --- Multivariate analysis --- Analyse multivariée --- #SBIB:012.AANKOOP --- #SBIB:303H520 --- #PBIB:2005.4 --- AA / International- internationaal --- 303.0 --- 304.6 --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Matrices --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken). --- Variantie-analyse, tests. --- Analyse multivariée --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken) --- Variantie-analyse, tests

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This volume contains many of the papers presented at the conference "Optimum Design 2000: Prospects for the New Millennium" held in Cardiff, UK on April 12th - 14th, 2000. The majority of the papers consider aspects of optimum experimental design from the theoretical to applications. Many of the optimisation problems arising in the optimum design theory in general and the articles in this volume in particular, fall into the category of nonconvex, including global, optimization. The papers are organised in two sections. Since we are at the beginning of a new millennium the first paper starts by looking back at the beginnings of optimum exper­ imental design in 1917 and sketches the development up to Kiefer's paper read to the Royal Statistical Society in 1959. This is the first in a group of papers which we have labelled "Theory", which cover the more general aspects, such as the properties and methods of construction of designs. In the "Applications" section there are papers on sequential design problems arising in the pharmaceutical industry and on the designs with discrete factors which occur in agriculture. There are also papers on training neural networks, on the efficient design of sampling methods, on design problems in mixtures, arising from a study of glass manufacturing, and on the resistance of Brazilian weeds to herbicides. The number attending the meeting was deliberately limited to 50 in order to encour­ age a workshop atmosphere and the exchange of ideas.

Experimental design --- Mathematical optimization --- 681.3*B63 --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Design of experiments --- Statistical design --- Research --- Science --- Statistical decision --- Statistics --- Analysis of means --- Analysis of variance --- Design aids: automatic synthesis; hardware description languages; optimization; simulation; switching theory; verification (Logic design) --- Experiments --- Methodology --- 681.3*B63 Design aids: automatic synthesis; hardware description languages; optimization; simulation; switching theory; verification (Logic design) --- Statistics . --- Mathematical optimization. --- Mathematical models. --- Statistics, general. --- Optimization. --- Mathematical Modeling and Industrial Mathematics. --- Models, Mathematical --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics