Maxwell L King
Biographic Data
| ID | 3715320 |
|---|---|
| NAME | Maxwell L King |
| GIVEN NAMES | Maxwell L |
| FAMILY NAME | King |
| SIGNATURE | KING M L |
| AFFILIATIONS | Monash University |
| VERIFIED | No |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 8 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1987 |
| LATEST PUBLICATION YEAR | 2009 |
| H-INDEX | 1 |
Measuring research quality using the journal impact factor, citations and 'Ranked Journals: Blunt Instruments or Inspired Metrics
This paper examines whether three bibliometric indicators—the journal impact factor, citations per paper and the Excellence in Research for Australia (ERA) initiative's list of 'ranked journals'—can predict the quality of individual research articles as assessed by international experts, both overall and within broad disciplinary groupings. The analysis is based on data obtained from a Mock Research Quality Framework (RQF) exercise conducted by M…
Influence Diagnostics in Generalized Autoregressive Conditional Heteroscedasticity Processes
Influence diagnostics have become important tools for statistical analysis since the seminal work by Cook. In this article we present a curvature-based directional diagnostic, set up based on the slope-based diagnostic to assess the local influence of minor perturbations on influence graph in a regression model. Using both slope- and curvature-based diagnostics, we examine local influence in the generalized autoregressive conditional heteroscedas…
The flawed nature of Australia's research training scheme
The Australian government radically altered its methodology for funding research training, starting from the 2002 academic year. Despite the altruistic objectives of the new Research Training Scheme, analysis reveals that a major component of the scheme is flawed, and can produce unintended results
A Locally Most Mean Powerful Based Score Test for ARCH and GARCH Regression Disturbances
This article considers the twin problems of testing for autoregressive conditional heteroscedasticity (ARCH) and generalized ARCH disturbances in the linear regression model. A feature of these testing problems, ignored by the standard Lagrange multiplier test, is that they are onesided in nature. A test that exploits this one-sided aspect is constructed based on the sum of the scores. The small-sample-size and power properties of two versions of…
Locally Optimal Testing When a Nuisance Parameter is Present Only Under the Alternative
Maxwell L. King, Thomas S. Shively, Locally Optimal Testing When a Nuisance Parameter is Present Only Under the Alternative, The Review of Economics and Statistics, Vol. 75, No. 1 (Feb., 1993), pp. 1-7
Testing Moving Average against Autoregressive Disturbances in the Linear-Regression Model
Paramsothy Silvapulle, Maxwell L. King, Testing Moving Average against Autoregressive Disturbances in the Linear-Regression Model, Journal of Business & Economic Statistics, Vol. 9, No. 3 (Jul., 1991), pp. 329-335
Testing Moving Average Against Autoregressive Disturbances in the Li near-Reg ression Model
This article considers testing for first-order moving average against first-order autoregressive disturbances in the linear-regression model. Tests investigated include approximate point-optimal invariant (POI) tests, an asymptotic test of the second-order residual autocorrelation coefficient, and a Lagrange multiplier. (LM) test. A Monte Carlo experiment compares their small-sample performances. Of the asymptotic tests, the LM test has the most …
Specification Analysis in the Linear Model
An Alternative Test for Regression Coefficient Stability
Recently, Watson and Engle (1985) considered the problem of testing for a constant regression coefficient against the alternative hypothesis that the coefficient follows a stationary first-order autoregressive process. This alternative is the return to normalcy model proposed by Rosenberg (1973). Watson and Engle observe that the unknown autoregressive parameter is not identified under their null hypothesis and they suggest the use of the test pr…
Measuring research quality using the journal impact factor, citations and 'Ranked Journals: Blunt Instruments or Inspired Metrics
This paper examines whether three bibliometric indicators—the journal impact factor, citations per paper and the Excellence in Research for Australia (ERA) initiative's list of 'ranked journals'—can predict the quality of individual research articles as assessed by international experts, both overall and within broad disciplinary groupings. The analysis is based on data obtained from a Mock Research Quality Framework (RQF) exercise conducted by M…
The flawed nature of Australia's research training scheme
The Australian government radically altered its methodology for funding research training, starting from the 2002 academic year. Despite the altruistic objectives of the new Research Training Scheme, analysis reveals that a major component of the scheme is flawed, and can produce unintended results
An Alternative Test for Regression Coefficient Stability
Recently, Watson and Engle (1985) considered the problem of testing for a constant regression coefficient against the alternative hypothesis that the coefficient follows a stationary first-order autoregressive process. This alternative is the return to normalcy model proposed by Rosenberg (1973). Watson and Engle observe that the unknown autoregressive parameter is not identified under their null hypothesis and they suggest the use of the test pr…
Specification Analysis in the Linear Model
Testing Moving Average against Autoregressive Disturbances in the Linear-Regression Model
Paramsothy Silvapulle, Maxwell L. King, Testing Moving Average against Autoregressive Disturbances in the Linear-Regression Model, Journal of Business & Economic Statistics, Vol. 9, No. 3 (Jul., 1991), pp. 329-335
Testing Moving Average Against Autoregressive Disturbances in the Li near-Reg ression Model
This article considers testing for first-order moving average against first-order autoregressive disturbances in the linear-regression model. Tests investigated include approximate point-optimal invariant (POI) tests, an asymptotic test of the second-order residual autocorrelation coefficient, and a Lagrange multiplier. (LM) test. A Monte Carlo experiment compares their small-sample performances. Of the asymptotic tests, the LM test has the most …
A Locally Most Mean Powerful Based Score Test for ARCH and GARCH Regression Disturbances
This article considers the twin problems of testing for autoregressive conditional heteroscedasticity (ARCH) and generalized ARCH disturbances in the linear regression model. A feature of these testing problems, ignored by the standard Lagrange multiplier test, is that they are onesided in nature. A test that exploits this one-sided aspect is constructed based on the sum of the scores. The small-sample-size and power properties of two versions of…
Locally Optimal Testing When a Nuisance Parameter is Present Only Under the Alternative
Maxwell L. King, Thomas S. Shively, Locally Optimal Testing When a Nuisance Parameter is Present Only Under the Alternative, The Review of Economics and Statistics, Vol. 75, No. 1 (Feb., 1993), pp. 1-7
The flawed nature of Australia's research training scheme
The Australian government radically altered its methodology for funding research training, starting from the 2002 academic year. Despite the altruistic objectives of the new Research Training Scheme, analysis reveals that a major component of the scheme is flawed, and can produce unintended results
Influence Diagnostics in Generalized Autoregressive Conditional Heteroscedasticity Processes
Influence diagnostics have become important tools for statistical analysis since the seminal work by Cook. In this article we present a curvature-based directional diagnostic, set up based on the slope-based diagnostic to assess the local influence of minor perturbations on influence graph in a regression model. Using both slope- and curvature-based diagnostics, we examine local influence in the generalized autoregressive conditional heteroscedas…
Measuring research quality using the journal impact factor, citations and 'Ranked Journals: Blunt Instruments or Inspired Metrics
This paper examines whether three bibliometric indicators—the journal impact factor, citations per paper and the Excellence in Research for Australia (ERA) initiative's list of 'ranked journals'—can predict the quality of individual research articles as assessed by international experts, both overall and within broad disciplinary groupings. The analysis is based on data obtained from a Mock Research Quality Framework (RQF) exercise conducted by M…
Mathematics (9 works) · Econometrics (6 works) · Statistics (6 works) · Autoregressive model (4 works) · Computer Science (3 works) · Financial Risk and Volatility Modeling (3 works) · Applied Mathematics (2 works) · Autoregressive conditional heteroskedasticity (2 works) · Economics (2 works) · Heteroscedasticity (2 works)