... underlying model in segregation analysis, namely a skewed polygenic distribution and linkage between a major gene and polygenes, on the power of detecting a major gene and on parameterestimation ... a general model to a model with equal means (fJ fJAa /= AA = t aa)Because SALP and PAP use different parameterization of effects, parameters were converted to two genotypic means ( and Aaa gene ... infinitesimal modeland the proportion of test gene statistics which supported the major gene hypothesis was calculated for both the mixed modeland the finite polygenic mixed model Polygenic and environmental...
... Practice of ModelDevelopmentand Use Stewart Robinson Warwick Business School Simulation: The Practice of ModelDevelopmentand Use Simulation: The Practice of ModelDevelopmentand Use Stewart ... modelling objectives 6.2.3 Designing the conceptual model: the inputs and outputs 6.2.4 Designing the conceptual model: the model content 6.2.5 The role of data in conceptual modelling ... conceptual modelling, model coding, experimentation and implementation These processes are described in detail in Chapters to 11 Chapters and explain the requirements for and process of conceptual modelling...
... MSE(b) −10 −20 −30 −40 The detection and parameters estimation of multicomponent LFM signal can be realized by the CPF The principle of detection and parameters estimation of single LFM signal is ... likelihood joint estimation of frequency and frequency rate,” IEEE Transactions on Aerospace and Electronic Systems, vol 22, no 6, pp 708–715, 1986 [2] R M Liang and K S Arun, Parameterestimation ... Wang and Y.-C Jiang [11] S Peleg and B Porat, Estimationand classification of polynomial-phase signals,” IEEE Transactions on Information Theory, vol 37, no 2, pp 422–430, 1991 [12] S Peleg and...
... (Schmidt and Jirstrand, 2006) to perform in silico simulation Models were available in TextBC format, which contains model states, model variables andmodel reactions information Standard configuration ... parameters before performing parameterestimation Note that as the model changes its parameters after each round of parameter estimation, the initial guess for each run of parameterestimation changes ... being aided and facilitated by the availability of specialized and general-purpose modeling tools (enumerated in Table 2.1) to perform model coding, model analysis andparameterestimation Page...
... methods and symbolic manipulation is then conducted on the plant to facilitate accurate and complete estimation of the process states and parameters by the joint data reconciliation – parameterestimation ... by Wang and Romagnoli (2003) in a comparison case study In the present work, the strategy is extended to incorporate parameterestimation in the joint data reconciliation andparameterestimation ... devoted to joint data reconciliation andparameter estimation, a strategy that combines the two estimation procedures to simultaneously obtain consistent variable andparameter estimates 2.2 Data Reconciliation...
... Recently, Hino and Prausnitz (1998) proposed a molecular thermodynamic model with combination of the impressible lattice-gas model (Birshtein and Pryamitsyn, 1991) and the interpolated affine model (Wolf, ... (Atluri and Zhu, 1998, 2000; Atluri and Shen, 2002; Atluri et al., 1999a, b; Gu and Liu GR, 2001a, b) and the family of local point interpolation method (LPIM) (Gu and Liu GR, 2001c; Liu GR and Gu, ... experimental-based Few efforts have been made on the theoretical understanding andmodeldevelopment For example, Varshosaz and Falamarzian (2001) claimed that drug release process could be via...
... by theories and these modeling works include: an extension of Lai’s triphasic model done by Gu et al (1998, 1999) and the numerical models developed by Wallmersperger et al (2001) and Zhou et ... of fluid and ions, Lai and his co-workers built theoretically a bridge between physico-chemical and continuum mixture theories It represented a significant progression in the modeling development ... published work, the present MECe model holds several advantages: (a) the computational domain of the MECe model covers both the hydrogels and surrounding solution, and the model is able to provide the...
... Later, Gao and Li [10] presented the downdraft gasifier model by combining a pyrolysis model (based on Koufopanos scheme) and reduction model following [7–9] to simulate the temperature field and gas ... reactivity and global reactions of char–gas and gas–gas reactions An effective global rate constant may be defined to account for both diffusion and kinetics of these reactions Wang and Kinoshita [7] modeled ... gasifier model with a gas– engine model towards simulation/optimization of gasifier–engine system Predictions of modeland its subroutines have been 1388 A.Kr Sharma / Energy Conversion and Management...
... of the observable parameters (data), the a priori information on model parameters, and the information on the physical correlations between observable parameters andmodel parameters can all ... between model parameters m and observable parameters d Let us see how this is done Let M be the model space manifold, with some coordinates (model parameters) m = {mα } = {m1 , m2 , } and with ... termed observable parameters and the quantities {mα } were termed model parameters, we can call {x A } the physical parameters or simply the parameters The manifold X is then named the parameter manifold...
... branched pathway model 57 3.3 Parameterestimation of the E coli model 60 3.4 Parameterestimation of the L lactis metabolic model 64 4.1 Parameter estimations of the branched pathway model using ... and their individuality comes from different values of model parameters This property keeps the model structure case-independent and simplifies the method development for model analysis andparameter ... increased the model complexity, which enabled model generation, model fitting andmodel selection On the other hand, “general-tospecific” modeling initiates a full symbolic model with all parameters...
... and cost, and the results of the exercises show that the optimal plant operating conditions depend nontrivially on the economic parameters, also the effects of exported steam mass flow rate and ... efficiency are deduced The two cases with fixed and variable total pressure ratios are discussed, and the effects of design parameters on general and optimal performances of the cogeneration plant ... intercooling pressure ratio and the total pressure ratio are optimized, and the corresponding exergetic efficiency is obtained Cycle model The T-s diagram of the heat and power cogeneration plant...
... multiple linear regression model PRF consists of two components : a controlled part and a stochastic part (stochastic disturbance - random disturbance) εi is a random variable and follows normal a ... our regression model has more regressors However, with the help of Eviews and other data analysis software, we can find the estimators of the multiple regression model quickly and easily To explain ... Homoscedasticity => var(εi) = σ2 Random disturbance has no correlation with Xs => cov(εi, Xki ) = (k: number of explanatory variables in the model) e) No error model specification a) b) c) d) 4.2...
... of Life Group [16,17] for the developmentand adaptation of quality of life measures and was used for the development of the WHOQOL-OLD module [18,19] Regarding development of new measures or ... order to expand the scale's properties beyond reliability and validity [20] The Rasch model has been adopted since it permits that data collected may be compared to an expected modeland allows ... disorders and, thus, what specific categories should be collapsed to improve the scale Factors I and II demanded that categories two and three were merged, whereas factor III needed categories and...
... both signal models andparameter models (e.g., longer-time remodelling models) The parameters in a signal model may simultaneously be the signal in a parameter model, with the two models operating ... neuromusculoskeletal models that include Hill muscle models [16-18] Hill-based muscle models predict force as a function of muscle activation, length and velocity In traditional use of such models, parameters ... aspects of model creation and implementation, including defining and adding signals, rules and parameters • User-analysts, who have access to specifying inputs, to all graphics capabilities, and to...
... of Life Group [16,17] for the developmentand adaptation of quality of life measures and was used for the development of the WHOQOL-OLD module [18,19] Regarding development of new measures or ... order to expand the scale's properties beyond reliability and validity [20] The Rasch model has been adopted since it permits that data collected may be compared to an expected modeland allows ... disorders and, thus, what specific categories should be collapsed to improve the scale Factors I and II demanded that categories two and three were merged, whereas factor III needed categories and...
... paper is organized as follows: The system and channel model is described in Section The relationship between channel andparameterestimation is explained and the nonlinear metric of the maximum-likelihood ... hand, the parameter- effects curvature only influences the uniform coordinate assumption and depends on the specific parameterization of the problem Hence, a reparameterization may change the parameter- effects ... each component is generated randomly between and 2π For each link, channel parameterestimation is performed and soft information based on the linearization method and on the likelihood method...
... Plans and Land use Planning and Land Allocation As indicated in the Baseline Survey report, survey teams visited the four project villages; Na Muc and Khuoi Lieng of Van Minh commune and To Dooc and ... main sources of household income are from crop and animal production and, while there are large areas of forest land (both private and Commune, and soon to be Community), these are not currently ... panting and agroforestry Agricultural soils have a pH of 6-7 Proposed Agroforestry Model The design of the agroforesty model takes into account the need for income generation for communities Expanding...
... Communications and Networking NUMERICAL RESULTS AND DISCUSSIONS In this Section, results of the numerical evaluation of the proposed model are presented The accuracy of the proposed modeland the circular-cell ... (1), (16), and (17), the pdfs for cellular systems with D = 2R (typical value for WCDMA systems) and D = 5R are evaluated for both the proposed modeland the circular-cell approximation and presented ... the circular-cell approximation and the proposed model is 4.7% if ρ = R, and 10.3% when ρ = r Integrating (1), (16), and (17), the corresponding cdfs are calculated and illustrated in Figure Noticeable...
... using Matlab functions and tested it on 80 randomly selected standard images of 256 × 256 pixels The accuracy of our method was evaluated by determining the mean and standard deviation of differences ... for mean and standard deviation of errors between the estimated values and the actual ones showed the high accuracy of our method We believe that the performance of motion blur parameterestimation ... International Symposium on Signal Processing and Information Technology (ISSPIT ’04), pp 314–317, Roma, Italy, December 2004 [2] Q Li and Y Yoshida, Parameterestimationand restoration for motion blurred...
... that is, the parameters of the synthesis model, span the parameter space where each point corresponds to a set of parameters and thus to a synthesized sound When dealing with discrete parameter ... sectioned as follows The plucked string synthesis modeland the control parameters to be estimated are described in Section Parameterestimation problem and methods for solving it are discussed in ... control the synthesis model are listed in Table ESTIMATION OF THE MODEL PARAMETERS Determination of the proper parameter values for sound synthesis systems is an important problem and also depends...