Model-parameters
Calibration of hydrological model parameters for ungauged catchments
... The parameters of hydrological models for catch- ments with few or no discharge records can be estimated us- ing regional ...similar model param- eters. Therefore a regionalisation of the hydrological ...
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On the Estimation of Parameters and Best Model Fits of Log Linear Model for Contingency Table
... estimate model parameters and best model fit of log li- near ...for model whose expected values are not directly obtainable from marginal totals of observed ...for model of No-three ...
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A comparison of regionalisation methods for catchment model parameters
... catchment model parameters (Bl¨oschl, ...the model parameters and physiographic catchment ...each model parameter is estimated independently from the others ...SYMHID model ...
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Bayesian estimation of parameters in a regional hydrological model
... Ecomag model for prediction of daily streamflow in ungauged ...Ecomag model is applied as a regional model to nine catchments in the NOPEX area, using Bayesian statistics to estimate the posterior ...
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Fuzzy Estimation Analysis of Photovoltaic Model Parameters
... the model equivalent circuit parameters. The parameters considered in the study are the series resistance, shunt resistance, photo current, saturation current, and diode ideality ...circuit ...
5
Identification of Mathematical Model Parameters of Stationary Process
... In this paper the different approach to the problem of parameters identification of mathematical models of sta- tionary processes is suggested. This method is suitable for the forecast using a small number of ...
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Robust estimation of hydrological model parameters
... hydrological model parameters is a challenging ...The parameters of fitted hydrological models depend upon the input ...hydrological model. To see the effect of observational error on ...
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Evaluation of Cuckoo Search Usage for Model Parameters Estimation
... fewer parameters that need to be tuned before start- ing the search compared with other techniques, in contrast, PSO needs tuning of mainly three parameters: Inertia weight, effect of self-confidence and ...
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Identifying Critical Parameters in SIR Model for Spread of Disease
... of model analysis here importantly play in reduc- ing the number of elements and in calculating analytical approximate solutions of the SIR ...simplified model helps to study the full model of SIR in ...
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Study on Dynamic Model of Initial Emission Rights for Medical Sewage System
... The parameters of the model are determined by the variable equation of the model, according to the above variable equations, the parameters in the model are fixed asset depreciation ...
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Data parallel structural optimisation in agent based modelling : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Science at Massey University, Albany, New Zealand
... Constructing a model involves selecting agents, their attributes, behaviours, interaction rules, and environment, but it also demands a certain level of programming ability. This learning curve stymies research ...
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Validating the double chain ladder stochastic claims reserving model
... (DCL) model proposed by Martínez-Miranda et al. (2012). The DCL model is a statistical model that can replicate the classical Chain Ladder estimates by using a particular estimation ...
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Markov switching generalized additive models
... For the closely related class of nonparametric HMMs, identifiability holds under fairly weak conditions, which in practice will usually be satisfied, namely that the t.p.m. of the unobserved Markov chain has full rank ...
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Analysis forqos and interference mitigation in full duplex 5G wireless networks
... system model for Co-Channel Interference (CCI) and we can work on Effective capacity theory to increase the overall system performance and APSK modulation Scheme of 5G wireless network in ...
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Development of sinkhole model using ANN (EasyNN plus) for underground coal mines in India
... (1975) model is based on limit equilibrium analysis, in model the vertically collapse configurations may give real representation of that ...Kendorski model, this model refined by introducing ...
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A Web Service Selection Model using Cognitive Parameters
... cognitive parameters. Although some models have been prepared based on parameters like Trust and Reputation, however Trust and Reputation seems to be the only two parameters that has been explored in ...
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Estimation of Parameters for Model Matching using Genetic Algorithms
... nonlinear model of the system is assumed available with the approximate range of parameter ...The model used in this work is the PS4 actuator with nozzle dynamics which is used for the liquid upper stage ...
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System identification of nonlinear autoregressive models in monitoring dengue infection
... For Lipschitz number criterion, the diagnostic accuracy of 86.81% was achieved for the unregularized method, whereas a small proportion of diagnostic error 13.19% has been observed for the total test group of 210 ...
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Advantages of open source processes for reliability: clarifying the issues
... a model of the reliability improvement process that results from the use of the software and the fixing of reported faults, which takes account of the effect on this process of the variety of software use patterns ...
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Some new proposed ridge parameters for the logistic regression model
... The concept of multicollinearity was first introduced by Frisch (1934), which occurs when the independent variables in a multiple regression model are collinear. This problem, which is very common in applied ...
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