Spatial Statistics for Predicting Flow Through a Rock Fracture
PhD thesis, Stanford Statistics
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Spatial Statistics for Predicting Flow Through a Rock Fracture
Summary
Spatial Statistics for Predicting Flow Through a Rock Fracture is a doctoral thesis[1].
Key Facts
- Spatial Statistics for Predicting Flow Through a Rock Fracture authored Kevin Coakley[2].
- Spatial Statistics for Predicting Flow Through a Rock Fracture's instance of is recorded as doctoral thesis[3].
- Spatial Statistics for Predicting Flow Through a Rock Fracture's language of work or name is recorded as English[4].
- Spatial Statistics for Predicting Flow Through a Rock Fracture's publication date is recorded as +1989-03-00T00:00:00Z[5].
- Spatial Statistics for Predicting Flow Through a Rock Fracture's Google Books ID is recorded as yasgAQAAIAAJ[6].
- Spatial Statistics for Predicting Flow Through a Rock Fracture's main subject is recorded as spatial statistics[7].
- Spatial Statistics for Predicting Flow Through a Rock Fracture's work available at URL is recorded as https://purl.stanford.edu/dy162gd7017[8].
- Spatial Statistics for Predicting Flow Through a Rock Fracture's described at URL is recorded as https://statistics.stanford.edu/people/kevin-coakley[9].
- Spatial Statistics for Predicting Flow Through a Rock Fracture's title is recorded as Spatial Statistics for Predicting Flow Through a Rock Fracture[10].
- Spatial Statistics for Predicting Flow Through a Rock Fracture's Google Scholar paper ID is recorded as 7109636976499512775[11].
- Spatial Statistics for Predicting Flow Through a Rock Fracture's thesis submitted to is recorded as Stanford University[12].
- Spatial Statistics for Predicting Flow Through a Rock Fracture's ProQuest document ID is recorded as 303781467[13].
- Spatial Statistics for Predicting Flow Through a Rock Fracture's thesis committee member is recorded as Paul Switzer[14].
- Spatial Statistics for Predicting Flow Through a Rock Fracture's thesis committee member is recorded as Art Owen[15].
- Spatial Statistics for Predicting Flow Through a Rock Fracture's thesis committee member is recorded as Jane C. S. Long[16].
- Spatial Statistics for Predicting Flow Through a Rock Fracture's elibrary.ru article ID is recorded as 5940658[17].
- Spatial Statistics for Predicting Flow Through a Rock Fracture's thesis submitted for degree is recorded as Doctor of Philosophy[18].
Body
Designation and Status
Spatial Statistics for Predicting Flow Through a Rock Fracture's instance of is recorded as doctoral thesis[3].