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Statistics for mining engineering /
Many areas within mining engineering gather and use information that is statistical in nature. This information is provided by observing the realities of activities such as the operation of pieces of equipment and their systems, the processes of the development of mining works, the surface subsidenc...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Leiden, The Netherlands :
CRC Press/Balkema,
[2014]
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| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
MARC
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| 100 | 1 | |a Czaplicki, Jacek M., |e author. | |
| 245 | 1 | 0 | |a Statistics for mining engineering / |c Jacek M. Czaplicki. |
| 264 | 1 | |a Leiden, The Netherlands : |b CRC Press/Balkema, |c [2014] | |
| 264 | 4 | |c ©2014 | |
| 300 | |a 1 online resource (xiii, 274 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |6 880-01 |a Front Cover; Contents; Preface and acknowledgements; About the author; List of major notations; 1. Fundamentals; 2. Some areas of the application of mathematical statistics in mining; 3. Analysis of data; 4. Synthesis of data; 5. Relationships between random variables; 6. Synthesis of data-regression analysis; 7. Special topic: Prediction; 8. Explanations of some important terms; 9. Statistical tables; References. | |
| 520 | |a Many areas within mining engineering gather and use information that is statistical in nature. This information is provided by observing the realities of activities such as the operation of pieces of equipment and their systems, the processes of the development of mining works, the surface subsidence that accompanies underground mining, the displacement of rocks surrounding surface pits and underground drives and longwalls, etc. | ||
| 588 | 0 | |a Print version record. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Mining engineering |x Statistical methods. | |
| 650 | 0 | |a Mineral industries. | |
| 650 | 2 | |a Statistics as Topic |x methods | |
| 650 | 2 | |a Mining | |
| 650 | 6 | |a Technique minière |x Méthodes statistiques. | |
| 650 | 6 | |a Mines |x Industrie. | |
| 650 | 7 | |a mining. |2 aat | |
| 650 | 7 | |a MATHEMATICS |x Applied. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Mineral industries |2 fast | |
| 650 | 7 | |a Mining engineering |x Statistical methods |2 fast | |
| 758 | |i has work: |a Statistics for mining engineering (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGcXC8qQdWPYhVXFGRvk8P |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Czaplicki, Jacek M. |t Statistics for mining engineering. |d London, UK : CRC Press/Balkema is an imprint of the Taylor & Francis Group, an informa business, 2014 |z 9781138001138 |w (DLC) 2013043750 |w (OCoLC)857966625 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781138001138/?ar |z Texto completo |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1375236 |z Texto completo |
| 880 | 0 | |6 505-00/(S |a Partial correlation coefficient and multiple correlation coefficient 5.4. Non-linear correlation measures Synthesis of data--regression analysis 6.1. Preliminary remarks 6.2. Linear regression 6.3. Linear transformations and multidimensional models 6.4. Autocorrelation and autoregression models 6.5. Classical linear regression for many variables 6.6. Regression with errors in values of random variables 6.7. Linear regression with additional information Special topic: Prediction 7.1. Introduction and basic terms 7.2. Subject of prediction 7.3. Examples Explanations of some important terms Statistical tables 9.1. Distribution function Φ(z) of standardised normal distribution N (0, 1). 9.2. Quantiles of the standardised normal distribution N (0, 1) 9.3. | |
| 880 | 0 | |6 505-00/(S |a Critical values of the Student's t -distribution 9.4. Critical values of the Chi-squared distribution 9.5. Critical values of the Snedecor's F distribution for α = 0.10 9.6. Critical values of the Snedecor's F distribution for α = 0.05 9.7. Critical values of the Snedecor's F distribution for α = 0.025 9.8. Critical values of the series distribution 9.9. Critical values of the Cochran statistic for α = 0.05 9.10. Critical values of the Hartley statistic for α = 0.05 9.11. Quantiles of the Poisson distribution 9.12. Critical values in Kolmogorov test of goodness-of-fit 9.13. Critical values of a linear correlation coefficient and a partial correlation coefficient 9.14. Critical values of the Spearman's rank correlation coefficient 9.15. Critical values of a multiple correlation coefficient 9.16a. | |
| 880 | 0 | |6 505-01/(S |a Critical values Dn, m (α) in the Smirnov test of goodness-of-fit for two empirical distributions 9.16b. Distribution of the Smirnov statistic Dn, m P {Dn, m ≤ k/n } 9.17. Critical values α(2n, 2m) of the distribution References Subject index. | |
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