KEY WORDS:

likelihood ratio test, von Bertalanffy, growth curves, geoduck, Panopea

The second test uses a

likelihood ratio test (Kmenta 1986) to test for equality of coefficients in the logit WTP models between 2006 and 2009.

This step is necessary because as pointed out by Hansen (1992), the standard

likelihood ratio test for multiple states is not defined as the transition probability parameters are not identified under the null of a single state.

commerson if the result of the overall

likelihood ratio test is taken in isolation of the multiple comparisons with other methods (i.

The most appropriate model for each trait was selected based on

likelihood ratio tests (Meyer, 2000).

No obstante, al realizar un

likelihood ratio test para saber si el fit (ajuste) de este modelo es superior al de los modelos 1 y 2 que toman a ambas variables aisladamente, vemos que ello no ocurre (el valor del log-likelihood es superior en el modelo cuatro, pero este incremento no resulta estadisticamente significativo como para concluir que efectivamente el nuevo modelo se adapta mejor a los datos de la muestra que los modelos 1 y 2).

In such a situation, a statistical test of the occurrence of human-to-human transmission is still meaningful because the

likelihood ratio test statistic is still estimable from the permuted datasets.

Therefore, the possible candidates as the fitted model that explains the observed data are (GC, F), (GC, FG) and (GC, FC, FG), which all fit the data satisfactorily according to the

likelihood ratio test.

1992) The

Likelihood Ratio Test Under Nonstandard Conditions: Testing the Markov Switching Model of GNP.

Schatzoff [72], Pillai and Gupta [73], Lee [74], and Davis [75] tabulate multiplying factors C to obtain upper percentage points of the distribution of the Wilks's

Likelihood Ratio Test Statistic - [n - p - (1/2) (m - r + 1)] logW from the percentage points of the chi-square distribution for multivariate analysis of variance.

That is, we add and then remove two lags of each variable in each equation, one at a time, and use the

likelihood ratio test to determine the significance of the added or deleted lags.

A

likelihood ratio test for the joint significance of all of the demographic interactions rejects the null hypothesis that the interactions are zero at better than the 1% confidence level for 1981 and at about a 15% level in 1991.