Ananya Sen
Biographic Data
| ID | 10909028 |
|---|---|
| NAME | Ananya Sen |
| GIVEN NAMES | Ananya |
| FAMILY NAME | Sen |
| SIGNATURE | SEN A |
| AFFILIATIONS | University of Illinois Chicago |
| ORCID | 0000-0002-9082-6871 |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1977 |
| LATEST PUBLICATION YEAR | 1983 |
| H-INDEX | 2 |
Least Squares Calibration of the Gravity Model When Intrazonal Flows are Unknown
Some very fast least-squares based calibration procedures for the gravity model have been presented in earlier papers. Since these procedures are inconvenient or impossible to use when diagonal elements of the base period origin-destination (O-D) matrix are unavailable, one of the procedures has been modified to handle such situations. This modified procedure is described in this paper and then applied to two O-D tables-one for food grains and th…
Rank Tests for Spatial Correlation
If spatial data do not have an underlying normal distribution, the traditional tests for spatial correlation may lead to erroneous conclusions. This is illustrated by means of an example. A class of tests based on the ranks of the observations is proposed and the large sample normality of each test is established. A theorem providing the basis for locally most powerful tests is also presented
Least Squares Calibration of the Gravity Model When Intrazonal Flows are Unknown
Some very fast least-squares based calibration procedures for the gravity model have been presented in earlier papers. Since these procedures are inconvenient or impossible to use when diagonal elements of the base period origin-destination (O-D) matrix are unavailable, one of the procedures has been modified to handle such situations. This modified procedure is described in this paper and then applied to two O-D tables-one for food grains and th…
Rank Tests for Spatial Correlation
If spatial data do not have an underlying normal distribution, the traditional tests for spatial correlation may lead to erroneous conclusions. This is illustrated by means of an example. A class of tests based on the ranks of the observations is proposed and the large sample normality of each test is established. A theorem providing the basis for locally most powerful tests is also presented
Rank Tests for Spatial Correlation
If spatial data do not have an underlying normal distribution, the traditional tests for spatial correlation may lead to erroneous conclusions. This is illustrated by means of an example. A class of tests based on the ranks of the observations is proposed and the large sample normality of each test is established. A theorem providing the basis for locally most powerful tests is also presented
Least Squares Calibration of the Gravity Model When Intrazonal Flows are Unknown
Some very fast least-squares based calibration procedures for the gravity model have been presented in earlier papers. Since these procedures are inconvenient or impossible to use when diagonal elements of the base period origin-destination (O-D) matrix are unavailable, one of the procedures has been modified to handle such situations. This modified procedure is described in this paper and then applied to two O-D tables-one for food grains and th…
Geometry (2 works) · Mathematics (2 works) · Statistics (2 works) · Algorithm (1 work) · Applied Mathematics (1 work) · Bayesian Methods and Mixture Models (1 work) · Calibration (1 work) · Chemistry (1 work) · Chromatography (1 work) · Combinatorics (1 work)