Detailed Estimation Results for Aggregate Models
Results of Fitted Neural Network Models on Malaysian Aggregate Dataset
... best results of both fitted BPNN-NAR and BPNN-NARMA on MCCI Aggregate dataset with respect to different error ...the results in terms of the performance of the fitted forecasting models by ...
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PARAMETER ESTIMATION USING AGGREGATE DATA
... 5.1 Comparison of AAE for Cases 1-6: Reduced data and Full data We now move to the discussion regarding the Monte Carlo simulations, AAE, and average estimated probability density for the previous 6 cases, for reduced ...
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Welfare Estimation Using Aggregate and Individual Observations Models: A Comparison Using Monte Carlo Techniques
... Some specific cases are worth mentioning. For "local parks", the simulations suggest that the individual-observation population survey model is a good choice. Furthermore, since the "market area" for such parks is small, ...
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DETAILED Q RESULTS FOR PROVEN WINNERS
... business models and transfers them to new, underserved or untapped markets where it seeks to scale them into market leading online ...business models that satisfy basic consumer needs across four main ...
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Comparison Of Estimated Cost Of Estimation With Detailed Cost Estimation In Building Projects
... cost estimation, namely estimated cost estimation with detailed cost ...while detailed cost estimates are made for ...while detailed cost estimates were calculated based on ...
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Using aggregate estimation models for order acceptance in a decentralized production control structure for batch chemical manufacturing
... following aggregate job set and resource con®guration characteristics: average number of identical resources, average number of processing steps per job, average overlap of processing steps within a job, standard ...
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Bayesian analysis of aggregate loss models.
... for aggregate loss models in the insurance ...density estimation approach for the Coxian distribution is implemented using reversible jump Markov Chain Monte Carlo (MCMC) ...
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An Approach for the Estimation of Aggregate Potential Telecommuting Demand
... its aggregate demand at the macro level of a city, generally because of the complexity and multi-dimensionality of the ...the estimation of potential aggregate telecommuting demand is proposed to ...
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Efficient Estimation of More Detailed Internet IP Maps
... First, they only work if routers are responsive to probe packets. Second, their input is a couple of IP addresses. In a network of n interfaces, there are potentially n! aliases to investigate, and exploring all the ...
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Wallet estimation models
... wallet estimation, while emphasizing the use of predictive modeling technologies to generate useful estimates, and minimizing reliance on primary ...empirical results on the success of these modeling ...
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Results on point and interval estimation for log linear models with non ignorable non response
... log-linear models for multi-way contingency tables with one variable subject to non- ignorable non-response will yield non-response boundary solutions, where the probability of non- respondents being classified in ...
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Generalised linear models for aggregate claims; to Tweedie or not?
... solves the problem of monotonicity between the mean and variance of the Tweedie GLM. Smyth and Jørgensen [11] apply double generalised linear models with a Tweedie response to an auto insurance dataset. The SPGA ...
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Impact estimation of disasters : a global aggregate for 1960 to 2007
... global aggregate of the economic impact of major disasters during 1960 to 2007 using SAM methodology and examined the trends of estimated disaster ...The results indicate, in total, the global ...
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Enhanced aggregate estimation using left deep tree
... UNBIASED-SET We start by showing a unique challenge imposed by the databases using left deep tree. For the databases using left deep tree, however, it is easily construct such a query tree because, unlike the hidden ...
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Generalized Linear Models for a Dependent Aggregate Claims Model
... the aggregate claim mount. On average, the variance of the aggregate claims, V ar[S i | X i ], decreased by − ...precise estimation of the aggre- gate ...dependent aggregate claims ...
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A comparative assessment of aggregate car ownership model estimation methodologies
... passenger models, possibly reflecting the fact that cheaper gasoline prices make traveling by car more affordable while inflation tends to impact motoring costs such as maintenance, insurance and toll ...
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Estimation of distributed individual rates from aggregate population data
... (excellent results are detailed in [BFZ]) from mosquitosh studies, b oth the theoretical and computational asp ects (involving par- allel algorithms on an Intel hyp ercub e) are to o involved for ...
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Improving Effort Estimation by Voting Software Estimation Models
... As a result, the correlation of the variables, based on (1), is depicted in Table 9. An acceptable correlation should have an absolute value higher than 0.5. Since the correlation of variables under the principal ...
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Estimation and inference of FAVAR models
... The results under IRc are similar to those under IRb and are reported in Tables 3 and ...identification, estimation, and inferential theory of the FAVAR ...
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M estimation in GARCH models
... technical results on the GARCH model ~1+1! and ~1+2! and used them to derive the asymptotic normal- ity of the QMLE+ Straumann and Mikosch ~2006! studied the QMLE under general conditional heteroskedastic ...
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