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Titlebook: Applied Statistics Using SPSS, STATISTICA and MATLAB; Joaquim P. Marques de Sá Textbook 20031st edition Springer-Verlag Berlin Heidelberg

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,Farbenlehre und Farbmeßtechnik,ariable based on the values of other . variables, establishing a functional relation of a statistical nature. The study of such functional relations, known for historical reasons as ., goes back to pioneering works in Statistics.
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Chemische Hilfsstoffe der Textilveredlung,, which led us to describe and use variable selection techniques. The problem with these techniques is that they cannot detect . variables in the data, responsible for interesting data variability. In the present chapter we describe techniques that allow us to analyse the data structure with the dua
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Alfred Schmidt,W. Kind,K. Stirmmely the Earth Sciences, Meteorology and Medicine. Note that directional data is an “interval type” data: the position of the “zero degrees” is arbitrary. Since usual statistics, such as the arithmetic mean and the standard deviation, do not have this rotational invariance, one must use other statis
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Introduction,zard way. Data generated in accordance to known and precise laws are called .. An example of such type of data is: the fall of a body subject to the Earth’s gravity. When the body is released at a height ., we can calculate precisely where the body stands at each time ..
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Data Regression,ariable based on the values of other . variables, establishing a functional relation of a statistical nature. The study of such functional relations, known for historical reasons as ., goes back to pioneering works in Statistics.
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Parametric Tests of Hypotheses,es. In order to make such decisions, a hypothesis is formulated, e.g. “is one manufacture method better than another?”, and tested using an appropriate methodology. Tests of hypotheses are an essential item in many scientific studies. In the present chapter, we describe the most fundamental tests of
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Statistical Classification,andom variables — the case .. In order to derive the decision rule, one assumes that a . of pre-classified cases — the data sample — is available, and can be used to determine the sought after rule applicable to new cases. The decision rule can be derived in a model-based approach, whenever a joint
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