Titlebook: Introductory Statistics and Random Phenomena; Uncertainty, Complex Manfred Denker,Wojbor Woyczynski Textbook 2017 Springer International Pu

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书目名称Introductory Statistics and Random Phenomena影响因子(影响力)




书目名称Introductory Statistics and Random Phenomena影响因子(影响力)学科排名




书目名称Introductory Statistics and Random Phenomena网络公开度




书目名称Introductory Statistics and Random Phenomena网络公开度学科排名




书目名称Introductory Statistics and Random Phenomena被引频次




书目名称Introductory Statistics and Random Phenomena被引频次学科排名




书目名称Introductory Statistics and Random Phenomena年度引用




书目名称Introductory Statistics and Random Phenomena年度引用学科排名




书目名称Introductory Statistics and Random Phenomena读者反馈




书目名称Introductory Statistics and Random Phenomena读者反馈学科排名

uncertain

General Principles of Statistical AnalysisThe exploration of experimental data and the reliability of the statistical inference based on these data depend heavily on the selection of the mathematical model and on the design of the data collection method.

未成熟

Data Representation and Compressiones in a compact and digestible form which, for instance, would permit an easy comparison of different data sets, discern trends, facilitate management and engineering decisions, or predict future behavior. This is what we call the problem of data representation and compression.

性上瘾

Algorithmic Complexity and Random Stnngs and computational complexity. Although the discussion illuminates the philosophical underpinnings of the concept of randomness for a concrete string of data, the conclusions are sobering: perfectly random strings cannot be produced by any finite algorithms (read, computers). A practical way out of this dilemma is suggested.

软弱

混杂人

Statistical Inference for Normal Populationsuickly move to construction of confidence intervals for one-sample models and the related hypothesis testing issues. A few remarks on the two-sample model follow and the chapter concludes with the regression analysis for the normal model and a goodness-of-fit test.

Intact

Analysis of Variancebuted just to random fluctuations, or is caused by the impact of different input levels. Such an approach has been briefly discussed in Section 8.5. A more general case, with several manipulated categorical variables (factors), will be sketched in this chapter. It is one of the basic tools in the design and analysis of experiments.

原谅

https://doi.org/10.1007/978-3-319-66152-0Introductory Statistics; Statistical Data Analysis; Algorithmic Complexity; Chaotic Behavior; Nonlinear

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