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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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發(fā)表于 2025-3-21 18:32:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applied Statistics Using SPSS, STATISTICA and MATLAB
影響因子2023Joaquim P. Marques de Sá
視頻videohttp://file.papertrans.cn/161/160159/160159.mp4
發(fā)行地址Wide coverage of Statistical topics and methods.Application to real life data and problems in various fields.Guidance on how to use STATISTICA, SPSS, MATLAB and R in statistical analysis applications.
圖書封面Titlebook: Applied Statistics Using SPSS, STATISTICA and MATLAB;  Joaquim P. Marques de Sá Textbook 20031st edition Springer-Verlag Berlin Heidelberg
影響因子.Aimed at?students, professionals and research workers who need to apply statistical analysis to a large variety of practical problems using SPSS, MATLAB and STATISTICA, this text?provides a comprehensive coverage of the main statistical analysis topics important for practical applications such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. The relevant notions and methods are explained concisely, illustrated with practical examples using real data, presented with the distinct intention of clarifying sensible practical issues. The solutions presented in the examples are obtained with one of the software packages in a pedagogical way. It provides guidance on how to use SPSS, MATALB and STATISTICA in statistical analysis applications without having to delve in the manuals. The accompanying CD-Rom includes several specific software tools for the topics described in the book, including a set of MATLAB functions for directional statistics as well as the data sets used in the examples and exercises covering a broad spectrum of areas from engineering, medicine, biology, psychology, economy, geology, and
Pindex Textbook 20031st edition
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Alois Herzog,P. Heermann,H. Ley hypotheses, assuming that the random variable distributions are known — the so-called .. We will first, however, present a few important notions in section 4.1 that apply to parametric and to non-parametric tests alike.
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CA, SPSS, MATLAB and R in statistical analysis applications..Aimed at?students, professionals and research workers who need to apply statistical analysis to a large variety of practical problems using SPSS, MATLAB and STATISTICA, this text?provides a comprehensive coverage of the main statistical an
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Alois Herzog,P. Heermann,H. Leyand times until failure are examples of . The statistical analysis of survival data is based on the use of specific data models and probability distributions. In this chapter, we present several relevant topics of survival analysis and their application to survival data using STATISTICA and SPSS.
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Alfred Schmidt,W. Kind,K. Stirmary. Since usual statistics, such as the arithmetic mean and the standard deviation, do not have this rotational invariance, one must use other statistics. For example, the mean direction between 10° and 350° is not given by the arithmetic mean 180°.
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Statistical Classification, 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 distribution of the independent variables can be assumed, or in a model-free approach, otherwise.
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