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Titlebook: Basics of Software Engineering Experimentation; Natalia Juristo,Ana M. Moreno Book 2001 Springer-Verlag US 2001 Mathematica.data analysis.

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Experiments with Undesired Variationsalysis in section 9.6 Finally, in section, 9.7, we will examine the case where the block size is smaller than the number of factor alternatives, which we referred to as incomplete block designs in Chapter 5.
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Non-Parametric Analysis Methodsrom the experiment. An explanation of how to run these tests was given in these chapters. When these constraints are not met, the analysis of the data collected during experiments must switch to non-parametric methods.
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https://doi.org/10.1007/978-3-663-08544-7 response variables and the alternatives that improve the values of the response variables. The data analysis branch of statistics provides the techniques for examining the experimental results. These are statistical methods that are used to analyse the data output by experiments and are explained in this, the third part of the book.
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Basic Notions of Data Analysis response variables and the alternatives that improve the values of the response variables. The data analysis branch of statistics provides the techniques for examining the experimental results. These are statistical methods that are used to analyse the data output by experiments and are explained in this, the third part of the book.
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Book 2001edesign and analysis of experiments and keeping the mathematicalcalculations clear and simple. .Basics of Software EngineeringExperimentation. is practically oriented and is specially writtenfor software engineers, all the examples being based on real andfictitious software engineering experiments.
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use in thedesign and analysis of experiments and keeping the mathematicalcalculations clear and simple. .Basics of Software EngineeringExperimentation. is practically oriented and is specially writtenfor software engineers, all the examples being based on real andfictitious software engineering experiments.978-1-4419-5011-6978-1-4757-3304-4
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