[PDF] Top 20 PARAMETER ESTIMATION USING AGGREGATE DATA
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PARAMETER ESTIMATION USING AGGREGATE DATA
... growth parameter r, which was estimated to be V ar[π(r|y)] ≈ ...the parameter estimate of r, which, in this case, represents the mean of the true distribution, with no indication that we are not capturing ... See full document
30
Parameter estimation using unidentified individual data in individual based models
... the parameter variability among individuals has long been recognized, and recently it has been shown that different genotypes can play a significant role on how a drug is metabolized and processed [13, ...ual ... See full document
22
Sensitivity analysis with respect to observations in variational data assimilation for parameter estimation
... variational data assimilation aimed at restoration of unknown parameters of a dynamic ...the parameter estimation problem it- ...ational data assimilation is not limited to operational fore- ... See full document
11
Enhanced aggregate estimation using left deep tree
... left-deep-tree data structure which imposes an order of all ...an aggregate estimation algorithm that provides completely unbiased estimates for COUNT, SUM and AVG ... See full document
5
PARAMETER ESTIMATION FOR HVAC SYSTEM MODELS FROM STANDARD TEST DATA
... regions using the effective heat transfers against the test condition ...for using the relationship as seen in Equation 29 which is easily done considering the total length of the evaporator has been ... See full document
113
Assessing Software Quality with Time Domain Pareto Type II using SPC
... of size r, which would be equal to power of the distribution function of the original variable (m(t)). The whole process involves the mathematical model of the mean value function and knowledge about its parameters. If ... See full document
7
Subdynamics of financial data from fractional Fokker Planck equation
... presented estimation methods of α param- eter let us first consider the simulated subdiffusion process with drift equal to zero and α = ...α parameter is responsible for traps observed in subordinated process ... See full document
13
Parameter estimation of the modified Weibull model based on grouped and censored data
... In reliability analysis, tests can be performed for units or systems either on complete data or grouped data. Tests on grouped data are more frequently, since they, generally, cost less and require ... See full document
5
Strength and Durability Parameter of Recycled Concrete Aggregate
... natural aggregate resources, as they are being very quickly ...Current data exhibit the growing claim of construction aggregate to power ...recycled aggregate in many other construction ... See full document
10
Selecting Best Software Reliability Growth Models: A Social Spider Algorithm based Approach
... the parameter estimation problem using Ant Colony ...gained using six typical models ...of using the Grey Wolf Optimization (GWO) in the estimation of the SRGM’s parameters ... See full document
9
Estimation of distributed individual rates from aggregate population data
... characteristic parameters are distributed in the overall p opulation at any time.. W e.[r] ... See full document
10
Bayesian Estimations with Fuzzy Data to Estimation Inverse Rayleigh Scale Parameter
... In trying to illustrate and compare the methods as described above, a Monte-Carlo simulation study was perform to generate an (i.i.d) random samples, say y , according to IRD through the adoption of inverse ... See full document
9
Predicting the Hypoxic‐Volume in Chesapeake Bay with the Streeter–Phelps Model: A Bayesian Approach 1
... the parameter estimation of a Streeter–Phelps model when only hypoxic volume data are ...only data available are hypoxic volume ...volume data results in reasonable predictive ... See full document
16
Parameter estimation for macroscopic pedestrian dynamics models from microscopic data
... An important and commonly used macroscopic relation is the so-called fundamental dia- gram. The fundamental diagram relates an averaged observed pedestrian density to either the measured velocity or outflow. It is a ... See full document
28
Bayesian system identification of dynamical systems using highly informative training data
... training data. It addresses the situation where, through using a subset of the available data, one is able to make significant computational savings when running MCMC – something which is ... See full document
15
Sampling variance of flood quantiles from the generalised logistic distribution estimated using the method of L moments
... estimated using a parameter estimation scheme used in the Flood Estimation Handbook (IH, 1999), were ...shape parameter takes values of ...shape parameter obtained from real ... See full document
8
Compaction parameter estimation using surface movement data in Southern Flevoland
... movement data and predictions before and after data ...circles: data; colored dashed lines: average prior estimate; colored solid lines: average assimilated ... See full document
5
Simultaneous state–parameter estimation of rainfall-induced landslide displacement using data assimilation
... Five continuous GPS observation stations have been set up for the Xishan Village landslide to obtain any deformation observations. The GPS receivers were connected to a net- work so the observations could be transferred ... See full document
12
Parameter Uncertainty Estimation by Using the Concept of Ideal Data in GLUE Approach
... input-output data, hy- drological model structure and model ...hydrological data can be summarized as below: 1) Representativeness of the distribution character and mathematical expectation of hydrological ... See full document
19
Data Fusion: Using Multiple Data Sources to Improve Demographic Parameter Estimation in Ecology.
... While Integrated model performed well, even when correlations across surveys were low, the Combined and Single data source models provided better fit when surveys were uncorrelated. In most situations, there will ... See full document
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