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Designing Quantitative Experiments (Record no. 26789)

000 -LEADER
fixed length control field 02679nam a22004095i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310153033.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100623s2010 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642115899
978-3-642-11589-9
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number T50
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 530.8
Edition number 23
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 2010.
912 ## -
-- ZDB-2-PHA
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Wolberg, John.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Designing Quantitative Experiments
Medium [electronic resource] :
Remainder of title Prediction Analysis /
Statement of responsibility, etc by John Wolberg.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 208p.
Other physical details online resource.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Statistical Background -- The Method of Least Squares -- Prediction Analysis -- Separation Experiments -- Initial Value Experiments -- Random Distributions.
520 ## - SUMMARY, ETC.
Summary, etc The method of Prediction Analysis is applicable for anyone interested in designing a quantitative experiment. The design phase of an experiment can be broken down into problem dependent design questions (like the type of equipment to use and the experimental setup) and generic questions (like the number of data points required, range of values for the independent variables and measurement accuracy). This book is directed towards the generic design phase of the process. The methodology for this phase of the design process is problem independent and can be applied to experiments performed in most branches of science and technology. The purpose of the prediction analysis is to predict the accuracy of the results that one can expect from a proposed experiment. Prediction analyses can be performed using the REGRESS program which was developed by the author and can be obtained free-of-charge through the author's website. Many examples of prediction analyses are included in the book ranging from very simple experiments based upon a linear relationship between the dependent and independent variables to experiments in which the mathematical models are highly non-linear.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Physics.
Topical term or geographic name as entry element Engineering.
Topical term or geographic name as entry element Physics.
Topical term or geographic name as entry element Measurement Science and Instrumentation.
Topical term or geographic name as entry element Engineering, general.
Topical term or geographic name as entry element Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642115882
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-11589-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book

No copies available.