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

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書目名稱Introductory Statistics and Random Phenomena影響因子(影響力)




書目名稱Introductory Statistics and Random Phenomena影響因子(影響力)學科排名




書目名稱Introductory Statistics and Random Phenomena網(wǎng)絡(luò)公開度




書目名稱Introductory Statistics and Random Phenomena網(wǎng)絡(luò)公開度學科排名




書目名稱Introductory Statistics and Random Phenomena被引頻次




書目名稱Introductory Statistics and Random Phenomena被引頻次學科排名




書目名稱Introductory Statistics and Random Phenomena年度引用




書目名稱Introductory Statistics and Random Phenomena年度引用學科排名




書目名稱Introductory Statistics and Random Phenomena讀者反饋




書目名稱Introductory Statistics and Random Phenomena讀者反饋學科排名

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.

性上癮

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.

軟弱

混雜人

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.

原諒

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

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