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Click the serial number on the left to view the details of the item. |
| # |
Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Zeljko Ivezi |
Statistics, data mining, and machine learning in astronomy: A Practical Python Guide for the Analysis of Survey Data |
OB1441 |
2014 |
eBook |
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| 2 |
Eric D. Feigelson |
Modern statistical methods for astronomy with R application |
024430 |
2012 |
Book |
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| 3 |
Ian Duck |
Pauli and the spin-statistics theorem |
014740 |
1997 |
Book |
|
| 4 |
Howard Mark |
Statistics in spectroscopy |
007106 |
1991 |
Book |
|
| 5 |
Louis Lyons |
Practical guide to data analysis for physical science students |
006340 |
1991 |
Book |
|
| 6 |
Harrison M. Wadsworth (ed.) |
Handbook of statistical methods for engineers and scientists |
003159 |
1990 |
Book |
|
| 7 |
George W. Snedecor |
Statistical methods |
000536 |
1967 |
Book |
|
| 8 |
John B. Kennedy |
Basic statistical methods for engineers and scientists |
000279 |
1986 |
Book |
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2.
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| Title | Modern statistical methods for astronomy with R application |
| Author(s) | Eric D. Feigelson ;G. Jogesh Babu |
| Publication | Cambridge , Cambridge University Press, 2012. |
| Description | xviii, 476p. |
| Abstract Note | Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to advanced statistics through ready-to-use code in the public domain R statistical software environment. The book presents fundamental results of probability theory and statistical inference, before exploring several fields of applied statistics, such as data smoothing, regression, multivariate analysis and classification, treatment of nondetections, time series analysis, and spatial point processes. It applies the methods discussed to contemporary astronomical research datasets using the R statistical software, making it invaluable for graduate students and researchers facing complex data analysis tasks. |
| ISBN,Price | 9780521767279 : 4715(HB) |
| Classification | 520.88:519.2R
|
| Keyword(s) | 1. EBOOK
2. EBOOK - CAMBRIDGE UNIVERSITY PRESS
3. STATISTICAL METHODS
|
| Item Type | Book |
Multi-Media Links
Click Here for Online Book
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| 024430 |
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520.88:519.2R/ERI/ |
On Shelf |
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| OB0484 |
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520.88:519.2R/ERI/ |
On Shelf |
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