C Michael Costanzo
Biographic Data
| ID | 6550686 |
|---|---|
| NAME | C Michael Costanzo |
| GIVEN NAMES | C Michael |
| FAMILY NAME | Costanzo |
| SIGNATURE | COSTANZO C M |
| AFFILIATIONS | University of California, Santa Barbara |
| VERIFIED | No |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 9 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1981 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Robots, jobs, and optimal fertility timing
Tests of Randomness: Unidimensional and Multidimensional
A variety of tests for randomness are reviewed based on simple product-moment statistics defined between two matrices, { aij} and { bij}. Typically, the first matrix, { aij}, contains proximity data on the spatial placement of n observations, { x1.... xn} the second matrix, { bij}, is obtained from the relationships among the n observations themselves. Depending on the definitions of { aij} and { bij}, a variety of well-known tests of randomness …
A Generalized Procedure for Comparing Models of Spatial Choice
A major concern of geographers has been the explanation and prediction of spatial choice behavior. Several discrete choice models have been developed which attempt to account for the use of different transport routes, modes, shopping centers, and so on. One of the fundamental issues associated with these models is the problem of model specification; furthermore, each type of model can potentially give disparate results for the same spatial choice…
Analysis of variance procedures based on a proximity measure between subjects
Analysis of variance procedures based on a proximity measure between subjects
An Alternative Method for Assessing Goodness-of-Fit for Logit Models
An inference strategy is presented to assess the goodness-of-fit for logit models. The conventional approach has emphasized likelihood ratio tests in which a distribution for the test statistic is assumed. A more recent development, the prediction success table, is based upon a ratio of predicted to observed choice patterns, yet it is primarily a descriptive index not placed within the context of an inference strategy/hypothesis-testing framework…
Aggregation in Data Tables: Implications for Evaluating Criminal Justice Statistics
Data collected on a set of objects (cities, for instance) over a set of attributes (time points, for instance) can be subjected to a variety of aggregation schemes. For example, if a hypothesized pattern over the attributes is to be confirmed (a temporal increase in homicide rate, for instance), the data could be first aggregated over cities and then compared to the hypothesized pattern. Alternatively, the correspondence for each city could be se…
Tests of Randomness: Unidimensional and Multidimensional
A variety of tests for randomness are reviewed based on simple product-moment statistics defined between two matrices, { aij} and { bij}. Typically, the first matrix, { aij}, contains proximity data on the spatial placement of n observations, { x1.... xn} the second matrix, { bij}, is obtained from the relationships among the n observations themselves. Depending on the definitions of { aij} and { bij}, a variety of well-known tests of randomness …
Robots, jobs, and optimal fertility timing
A Generalized Procedure for Comparing Models of Spatial Choice
A major concern of geographers has been the explanation and prediction of spatial choice behavior. Several discrete choice models have been developed which attempt to account for the use of different transport routes, modes, shopping centers, and so on. One of the fundamental issues associated with these models is the problem of model specification; furthermore, each type of model can potentially give disparate results for the same spatial choice…
An Alternative Method for Assessing Goodness-of-Fit for Logit Models
An inference strategy is presented to assess the goodness-of-fit for logit models. The conventional approach has emphasized likelihood ratio tests in which a distribution for the test statistic is assumed. A more recent development, the prediction success table, is based upon a ratio of predicted to observed choice patterns, yet it is primarily a descriptive index not placed within the context of an inference strategy/hypothesis-testing framework…
Aggregation in Data Tables: Implications for Evaluating Criminal Justice Statistics
Data collected on a set of objects (cities, for instance) over a set of attributes (time points, for instance) can be subjected to a variety of aggregation schemes. For example, if a hypothesized pattern over the attributes is to be confirmed (a temporal increase in homicide rate, for instance), the data could be first aggregated over cities and then compared to the hypothesized pattern. Alternatively, the correspondence for each city could be se…
Analysis of variance procedures based on a proximity measure between subjects
Analysis of variance procedures based on a proximity measure between subjects
An Alternative Method for Assessing Goodness-of-Fit for Logit Models
An inference strategy is presented to assess the goodness-of-fit for logit models. The conventional approach has emphasized likelihood ratio tests in which a distribution for the test statistic is assumed. A more recent development, the prediction success table, is based upon a ratio of predicted to observed choice patterns, yet it is primarily a descriptive index not placed within the context of an inference strategy/hypothesis-testing framework…
A Generalized Procedure for Comparing Models of Spatial Choice
A major concern of geographers has been the explanation and prediction of spatial choice behavior. Several discrete choice models have been developed which attempt to account for the use of different transport routes, modes, shopping centers, and so on. One of the fundamental issues associated with these models is the problem of model specification; furthermore, each type of model can potentially give disparate results for the same spatial choice…
Tests of Randomness: Unidimensional and Multidimensional
A variety of tests for randomness are reviewed based on simple product-moment statistics defined between two matrices, { aij} and { bij}. Typically, the first matrix, { aij}, contains proximity data on the spatial placement of n observations, { x1.... xn} the second matrix, { bij}, is obtained from the relationships among the n observations themselves. Depending on the definitions of { aij} and { bij}, a variety of well-known tests of randomness …
Robots, jobs, and optimal fertility timing
Computer Science (6 works) · Mathematics (6 works) · Statistics (6 works) · Econometrics (5 works) · Artificial Intelligence (3 works) · Data mining (3 works) · Economics (3 works) · Advanced Statistical Methods and Models (2 works) · Analysis of variance (2 works) · Economic and Environmental Valuation (2 works)