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model development and parameter estimation

Báo cáo sinh học:

Báo cáo sinh học: " Power and parameter estimation of complex segregation analysis under a finite locus model" pot

Báo cáo khoa học

... 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 parameter estimation ... 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 model and the proportion of test gene statistics which supported the major gene hypothesis was calculated for both the mixed model and the finite polygenic mixed model Polygenic and environmental...
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Simulation the practice of model development and use

Simulation the practice of model development and use

Chuyên ngành kinh tế

... Practice of Model Development and Use Stewart Robinson Warwick Business School Simulation: The Practice of Model Development and Use Simulation: The Practice of Model Development and 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...
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Báo cáo hóa học:

Báo cáo hóa học: " Research Article Detection and Parameter Estimation of Multicomponent LFM Signal Based on the Cubic Phase Function" pptx

Hóa học - Dầu khí

... 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, Parameter estimation ... Wang and Y.-C Jiang [11] S Peleg and B Porat, Estimation and classification of polynomial-phase signals,” IEEE Transactions on Information Theory, vol 37, no 2, pp 422–430, 1991 [12] S Peleg and...
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Computational modeling of cell signaling dynamics  hypothesis management and parameter estimation methods applied to the akt pathway

Computational modeling of cell signaling dynamics hypothesis management and parameter estimation methods applied to the akt pathway

Thạc sĩ - Cao học

... (Schmidt and Jirstrand, 2006) to perform in silico simulation Models were available in TextBC format, which contains model states, model variables and model reactions information Standard configuration ... parameters before performing parameter estimation Note that as the model changes its parameters after each round of parameter estimation, the initial guess for each run of parameter estimation 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 and parameter estimation Page...
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Framework for joint data reconciliation and parameter estimation

Framework for joint data reconciliation and parameter estimation

Tổng hợp

... 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 – parameter estimation ... by Wang and Romagnoli (2003) in a comparison case study In the present work, the strategy is extended to incorporate parameter estimation in the joint data reconciliation and parameter estimation ... devoted to joint data reconciliation and parameter estimation, a strategy that combines the two estimation procedures to simultaneously obtain consistent variable and parameter estimates 2.2 Data Reconciliation...
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Model development and numerical simulation of thermo sensitive hydrogel and microgel based drug delivery

Model development and numerical simulation of thermo sensitive hydrogel and microgel based drug delivery

Tổng hợp

... 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 and model development For example, Varshosaz and Falamarzian (2001) claimed that drug release process could be via...
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Multiphasic model development and meshless simulations of electric sensitive hydrogels

Multiphasic model development and meshless simulations of electric sensitive hydrogels

Tổng hợp

... 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...
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Modeling and simulation of a downdraft biomass gasifier 1. Model development and validation

Modeling and simulation of a downdraft biomass gasifier 1. Model development and validation

Báo cáo khoa học

... 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 model and its subroutines have been 1388 A.Kr Sharma / Energy Conversion and Management...
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inverse problem theory and methods for model parameter estimation - a. tarantola

inverse problem theory and methods for model parameter estimation - a. tarantola

Toán học

... of the observable parameters (data), the a priori information on model parameters, and the information on the physical correlations between observable parameters and model 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...
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Metabolic network model identification parameter estimation and ensemble modeling

Metabolic network model identification parameter estimation and ensemble modeling

Thạc sĩ - Cao học

... branched pathway model 57 3.3 Parameter estimation of the E coli model 60 3.4 Parameter estimation 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 and parameter ... increased the model complexity, which enabled model generation, model fitting and model selection On the other hand, “general-tospecific” modeling initiates a full symbolic model with all parameters...
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Exergoeconomic performance optimization of an endoreversible intercooled regenerated Brayton cogeneration plant Part 1: Thermodynamic model and parameter analyses

Exergoeconomic performance optimization of an endoreversible intercooled regenerated Brayton cogeneration plant Part 1: Thermodynamic model and parameter analyses

Môi trường

... 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...
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Tài liệu MULTIPLE LINEAR REGRESSION MODEL Introduction and Estimation ppt

Tài liệu MULTIPLE LINEAR REGRESSION MODEL Introduction and Estimation ppt

Quản lý dự án

... 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...
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báo cáo hóa học:

báo cáo hóa học: " Development and validation of the Brazilian version of the Attitudes to Aging Questionnaire (AAQ): An example of merging classical psychometric theory and the Rasch measurement model" pptx

Hóa học - Dầu khí

... of Life Group [16,17] for the development and 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 model and 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...
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báo cáo hóa học:

báo cáo hóa học: "A Dynamic Neuro-Fuzzy Model Providing Bio-State Estimation and Prognosis Prediction for Wearable Intelligent Assistants" pptx

Hóa học - Dầu khí

... both signal models and parameter 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...
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báo cáo hóa học:

báo cáo hóa học:" Development and validation of the Brazilian version of the Attitudes to Aging Questionnaire (AAQ): An example of merging classical psychometric theory and the Rasch measurement model" docx

Hóa học - Dầu khí

... of Life Group [16,17] for the development and 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 model and 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...
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Báo cáo hóa học:

Báo cáo hóa học: " Joint communication and positioning based on soft channel parameter estimation" pot

Hóa học - Dầu khí

... paper is organized as follows: The system and channel model is described in Section The relationship between channel and parameter estimation 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 parameter estimation is performed and soft information based on the linearization method and on the likelihood method...
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Báo cáo khoa học nông nghiệp

Báo cáo khoa học nông nghiệp " Sustainable community-based forest development and management in some high-poverty areas in Bac Kan Province ( Agroforestry Model Implementation Plan )" docx

Báo cáo khoa học

... 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...
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Báo cáo hóa học:

Báo cáo hóa học: "Research Article A Geometrical-Based Model for Cochannel Interference Analysis and Capacity Estimation of CDMA Cellular Systems" pot

Hóa học - Dầu khí

... 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 model and 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 model and 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...
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Báo cáo hóa học:

Báo cáo hóa học: " Research Article Linear Motion Blur Parameter Estimation in Noisy Images Using Fuzzy Sets and Power Spectrum" pptx

Báo cáo khoa học

... 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 parameter estimation ... International Symposium on Signal Processing and Information Technology (ISSPIT ’04), pp 314–317, Roma, Italy, December 2004 [2] Q Li and Y Yoshida, Parameter estimation and restoration for motion blurred...
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Báo cáo hóa học:

Báo cáo hóa học: " Parameter Estimation of a Plucked String Synthesis Model Using a Genetic Algorithm with Perceptual Fitness Calculation" ppt

Báo cáo khoa học

... 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 model and the control parameters to be estimated are described in Section Parameter estimation 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...
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