| Advanced Statistics: Description of Populations 1996 Edition Contributor(s): Haberman, Shelby J. (Author) |
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ISBN: 0387947175 ISBN-13: 9780387947174 Publisher: Springer OUR PRICE: $161.49 Product Type: Hardcover - Other Formats Published: June 1996 Annotation: Advanced Statistics provides a rigorous development of statistics that emphasizes the definition and study of numerical measures that describe population variables. Volume 1 studies properties of commonly used descriptive measures. Volume 2 considers use of sampling from populations to draw inferences concerning properties of populations. The volumes are intended for use by graduate students in statistics and professional statisticians, although no specific prior knowledge of statistics is assumed. The rigorous treatment of statistical concepts requires that the reader be familiar with mathematical analysis and linear algebra, so that open sets, continuous functions, differentials, Raman integrals, matrices, and vectors are familiar terms. |
| Additional Information |
| BISAC Categories: - Science - Mathematics | Probability & Statistics - General |
| Dewey: 519.2 |
| LCCN: 96010601 |
| Series: Springer Series in Statistics |
| Physical Information: 1.14" H x 6.41" W x 9.51" (1.94 lbs) 490 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Advanced Statistics provides a rigorous development of statistics that emphasizes the definition and study of numerical measures that describe population variables. Volume 1 studies properties of commonly used descriptive measures. Volume 2 considers use of sampling from populations to draw inferences concerning properties of populations. The volumes are intended for use by graduate students in statistics and professional statisticians, although no specific prior knowledge of statistics is assumed. The rigorous treatment of statistical concepts requires that the reader be familiar with mathematical analysis and linear algebra, so that open sets, continuous functions, differentials, Raman integrals, matrices, and vectors are familiar terms. |