Optimal Design Procedure for Two-level Fractional Factorial Experiments Given Prior Information about Parameters

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ISBN 13 :
Total Pages : 44 pages
Book Rating : 4.55/5 ( download)

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Book Synopsis Optimal Design Procedure for Two-level Fractional Factorial Experiments Given Prior Information about Parameters by : Steven M. Sidik

Download or read book Optimal Design Procedure for Two-level Fractional Factorial Experiments Given Prior Information about Parameters written by Steven M. Sidik and published by . This book was released on 1971 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: Any prior information an experimenter has should be incorporated into the design of further experiments. Assume such information is expressed as probabilities that each parameter of the full factorial model is nonzero. This report develops optimal design procedures by posing the experimental design problem as a finite decision problem. Bays and mini-max design strategies are then derived and their application illustrated. The major computational step is the evaluation of all possible matchings of physical variables to the abstract variables of all potential designs. The technique of telescoping sequences of blocks permits the consideration of experiments to be performed in stages.

Optimal Design Procedure for Two-level Fractional Factorial Experiments Given Prior Information about Parameters

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ISBN 13 :
Total Pages : 38 pages
Book Rating : 4.06/5 ( download)

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Book Synopsis Optimal Design Procedure for Two-level Fractional Factorial Experiments Given Prior Information about Parameters by : Steven M. Sidik

Download or read book Optimal Design Procedure for Two-level Fractional Factorial Experiments Given Prior Information about Parameters written by Steven M. Sidik and published by . This book was released on 1971 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Scientific and Technical Aerospace Reports

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ISBN 13 :
Total Pages : 232 pages
Book Rating : 4.79/5 ( download)

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Book Synopsis Scientific and Technical Aerospace Reports by :

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1972 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:

NASA Technical Note

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ISBN 13 :
Total Pages : 408 pages
Book Rating : 4.13/5 ( download)

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Book Synopsis NASA Technical Note by :

Download or read book NASA Technical Note written by and published by . This book was released on 1973 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Comprehensive Guide to Factorial Two-Level Experimentation

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Publisher : Springer Science & Business Media
ISBN 13 : 038789103X
Total Pages : 553 pages
Book Rating : 4.33/5 ( download)

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Book Synopsis A Comprehensive Guide to Factorial Two-Level Experimentation by : Robert Mee

Download or read book A Comprehensive Guide to Factorial Two-Level Experimentation written by Robert Mee and published by Springer Science & Business Media. This book was released on 2009-06-23 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the most comprehensive coverage available anywhere for two-level factorial designs. The re-analysis of 50 published examples serves as a how-to guide for analysis of the many types of full factorial and fractional factorial designs. By focusing on two-level designs, this book is accessible to a wide audience of practitioners who use planned experiments.

Applied Mechanics Reviews

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ISBN 13 :
Total Pages : 520 pages
Book Rating : 4.36/5 ( download)

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Book Synopsis Applied Mechanics Reviews by :

Download or read book Applied Mechanics Reviews written by and published by . This book was released on 1972 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Cost Optimal Approach to Selecting a Fractional Factorial Design

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ISBN 13 :
Total Pages : 93 pages
Book Rating : 4.22/5 ( download)

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Book Synopsis A Cost Optimal Approach to Selecting a Fractional Factorial Design by : William Francis Friese (Jr)

Download or read book A Cost Optimal Approach to Selecting a Fractional Factorial Design written by William Francis Friese (Jr) and published by . This book was released on 1977 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research develops a multistage decision process designed to obtain the maximum amount of information from the evaluation of a fractorial design while minimizing the amount of resources used in obtaining the information. The use of screening experiments in building the factorial design is investigated in order to maximize the amount of information gained. The use of sequential analysis procedures to terminate experimentation at the earliest possible time is investigated in order to minimize the amount of resources used. The research is limited to 2 to the n power factorial designs involving univariate response models assumed to come from a normal population; however, the procedure can be easily extended to any factorial design. The approach is demonstrated for an operational test involving a 2 to the 6th power factorial design and the results are compared to classical procedures. The sensitivity of the required input parameters is investigated and related applications are discussed. The proposed approach is found to be a viable method of designing, conducting, and evaluating an operational test involving a factorial experiment. (Author).

An Algorithm for Generating All Possible 2p-q Fractional Factorial Designs and Its Use in Scientific Experimentation

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ISBN 13 :
Total Pages : 44 pages
Book Rating : 4.75/5 ( download)

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Book Synopsis An Algorithm for Generating All Possible 2p-q Fractional Factorial Designs and Its Use in Scientific Experimentation by : Steven M. Sidik

Download or read book An Algorithm for Generating All Possible 2p-q Fractional Factorial Designs and Its Use in Scientific Experimentation written by Steven M. Sidik and published by . This book was released on 1973 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: An algorithm and computer program are presented for generating all the distinct 2(p-q) fractional factorial designs. Some applications of this algorithm to the construction of tables of designs and of designs for nonstandard situations and its use in Bayesian design are discussed.

NAMER

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ISBN 13 :
Total Pages : 76 pages
Book Rating : 4.54/5 ( download)

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Book Synopsis NAMER by : Steven M. Sidik

Download or read book NAMER written by Steven M. Sidik and published by . This book was released on 1972 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: Under certain specified conditions, the Bayes procedure for designing two- level fractional factorial experiments is that which maximizes the expected utility over all possible choices of parameter-estimator matchings, physical-design variable matchings, defining parameter groups, and sequences of telescoping groups. NAMER computes the utility of all possible matchings of physical variables to design variables and parameters to estimators for a specified choice of defining parameter group or groups. The matching yielding the maximum expected utility is indicated, and detailed information is provided about the optimal matchings and utilities. Complete documentation is given; and an example illustrates input, output, and usage.

Computational and Statistical Methods for Analysing Big Data with Applications

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Publisher : Academic Press
ISBN 13 : 0081006519
Total Pages : 208 pages
Book Rating : 4.11/5 ( download)

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Book Synopsis Computational and Statistical Methods for Analysing Big Data with Applications by : Shen Liu

Download or read book Computational and Statistical Methods for Analysing Big Data with Applications written by Shen Liu and published by Academic Press. This book was released on 2015-11-20 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours, providing applications and case studies for the purpose of demonstration. Computational and Statistical Methods for Analysing Big Data with Applications starts with an overview of the era of big data. It then goes onto explain the computational and statistical methods which have been commonly applied in the big data revolution. For each of these methods, an example is provided as a guide to its application. Five case studies are presented next, focusing on computer vision with massive training data, spatial data analysis, advanced experimental design methods for big data, big data in clinical medicine, and analysing data collected from mobile devices, respectively. The book concludes with some final thoughts and suggested areas for future research in big data. Advanced computational and statistical methodologies for analysing big data are developed Experimental design methodologies are described and implemented to make the analysis of big data more computationally tractable Case studies are discussed to demonstrate the implementation of the developed methods Five high-impact areas of application are studied: computer vision, geosciences, commerce, healthcare and transportation Computing code/programs are provided where appropriate