| Description |
1 online resource (xiii, 274 pages) |
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data file |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
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. |
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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. |
| Summary |
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. |
| Subject |
Mining engineering -- Statistical methods.
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Mineral industries.
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Statistics as Topic -- methods |
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Mining |
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Technique minière -- Méthodes statistiques. |
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Mines -- Industrie. |
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mining. |
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Mineral industries |
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Mining engineering -- Statistical methods |
| Other Form: |
Print version: Czaplicki, Jacek M. Statistics for mining engineering. London, UK : CRC Press/Balkema is an imprint of the Taylor & Francis Group, an informa business, 2014 9781138001138 (DLC) 2013043750 (OCoLC)857966625 |
| ISBN |
9781315815039 (electronic bk.) |
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1315815036 (electronic bk.) |
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1306410371 (ebk) |
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9781306410373 (ebk) |
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1138001139 (hardback) |
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9781138001138 (hardback) |
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9781317806325 |
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1317806328 |
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9781317806332 |
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1317806336 |
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9781317806349 |
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1317806344 |
| Standard No. |
10.1201/b16388 doi |
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