A parametric bootstrap procedure is proposed for the mean squared error of the predictor based on a unit level model. It is demonstrated that the proposed procedure has smaller bootstrap error than a classical double bootstrap procedure with the same number of samples. Applications to a logit model under different types of auxiliary information are discussed.

Generalizing models trained on normal visual conditions to target domains under adverse is demanding in the practical systems. One prevalent solution bridge domain gap between clear- and adverse-condition images make satisfactory prediction target. However, previous methods often reckon additional reference of same scenes taken from conditions, which are quite tough collect reality. Furthermore...

There is a strong competition from low-priced imported catfish fillets resulting in a declining market share for domestic farm-raised catfish fillets. To match the competition, catfish processors are embarking on pricing policy measures that are volume-oriented instead of profitor image-oriented. This could be an effective short-run pricing policy measure for optimal longrun sustainability and ...

Logit kernel is a discrete choice model that has both probit-like disturbances as well as an additive i.i.d. extreme value (or Gumbel) disturbance à la multinomial logit. The result is an intuitive, practical, and powerful model that combines the flexibility of probit with the tractability of logit. For this reason, logit kernel has been deemed the “model of the future” and is becoming extremel...

In this article, we propose generalized two-parameter (GTP) estimators and an algorithm for the estimation of shrinkage parameters to combat multicollinearity in multinomial logit regression model. addition, mean squared error properties are derived. A simulation study is conducted investigate performance proposed different sample sizes, degrees multicollinearity, number explanatory variables. ...

The aim of this paper is to measure the effect of the interaction between age for the population of males and females aged 18 to 74 and region-level GDP per capita on labour market transition probabilities in Italy. We compare different occupational states in a sample of males and females who remained in their region of residence at two points in time (12 months apart). We estimate the transiti...

The cluster analysis and the classification trees technique are applied to investigate the relationship between the individual characteristics of the Italian THA (temporary help agency) workers and their probability to achieve a temporary job. The application aims to show some advantages of these techniques with respect to the traditional econometric tools. The sketches of the most common profi...

the objective of this study was to assess the level of knowledge of the turkish farmers with regard to fertilizer usage. farmers in the kazova district of turkey's tokat province were interviewed regarding their soil maintenance practices. the interview was based on a standardized questionnaire the answers being recorded at the time of interview. simple random sampling method was used to de...

This research proposal presents a novel study that aims to contribute to the understanding of factors that impact on the performance of Australian university business school websites. The proposed study addresses the current limitations of website performance measurement and incorporates a multilevel perspective that accounts for user and organisational perspectives on website performance. This...