搜索结果: 1-15 共查到“管理学 the State”相关记录112条 . 查询时间(0.103 秒)
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政府的角色使得中国城镇化和城镇体系演化呈现出独特的特征。但是,政府如何在城镇体系演化过程中发挥作用?作用产生了什么样的影响?上述问题值得深入研究。本书从政府能力、制度和政策角度实证分析政府对城镇体系演化的影响。重点关注了城市政府能力及其空间结构如何影响不同城市的增长,从而影响城镇体系空间结构的演化;城市行政等级体系以及等级升级如何对城市规模等级结构产生影响;模拟了改革开放初期确立的城市发展方针如何...
Conditional limit theorems for critical continous-state branching processes
Empirical likelihood high dimensional data analysis independence sure screening large deviation
2016/1/20
In this paper we study the conditional limit theorems for critical continuous-state branching processes with branching mechanism ψ(λ) = λ 1+α L(1/λ)where α ∈ [0,1] and L is slowly varying at ∞. We pro...
Menarchial Age of Secondary School Girls in Urban and Rural Areas of Rivers State, Nigeria
Menarchial age School Girls Urban Rural Sports Socio-economic class
2015/7/31
The menarchial age of 859 secondary school girls consisting of 508 from urban and 351 from rural area of Rivers State, Nigeria were determined, using questionnaires and interview method. Data collatio...
Design of stabilizing state feedback for delay systems via convex optimization
stabilizing state feedback delay systems convex optimization
2015/7/13
For linear systems with delays, we define a new class of Lyapunov-like functionals that may be used to prove stability. We also show how we may design a stabilizing (delayed) state feedback for delay ...
Piecewise-Affine State Feedback for Piecewise-Affine Slab Systems Using Convex Optimization
Piecewise-affi ne systems State feedback Convex optimization Ellipsoids Lyapunov function
2015/7/10
This paper shows that Lyapunov-based state feedback controller synthesis for piecewise-affine (PWA) slab systems can be cast as an optimization problem subject to a set of linear matrix inequalities (...
Mixed State Estimation for a Linear Gaussian Markov Model
Mixed State Estimation Linear Gaussian Markov Model
2015/7/9
We consider a discrete-time dynamical system with Boolean and continuous states, with the continuous state propagating linearly in the continuous and Boolean state variables, and an additive Gaussian ...
Analysis and Synthesis of State-Feedback Controllers with Timing Jitter
Analysis and Synthesis State-Feedback Controllers Timing Jitter
2015/7/9
We consider a continuous-time linear system with sampled constant linear state-feedback control and a convex quadratic performance measure. The sample times, however, are subject to variation within s...
Inferring Stable Genetic Networks from Steady-State Data
convex optimization stability of linear systems
2015/7/9
Gene regulatory networks capture the interactions between genes and other cell substances, resulting from the fundamental biological process of transcription and translation. In some applications, the...
Smoothed state estimates under abrupt changes using sum-of-norms regularization
Smoothing Sparsity Regularization Change detection
2015/7/9
The presence of abrupt changes, such as impulsive and load disturbances, commonly occur in applications, but make the state estimation problem considerably more difficult than in the standard setting ...
A Batch Means Methodology for Estimation of a Nonlinear Function of a Steady- State Mean
Simulation Output Analysis Steady-State Simulation Nonlinear Estimation Batch Means Jack- knifing
2015/7/8
We study the estimation of steady-state performance measures from an Ad-valued stochastic process Y = {Y(t): t≥0} representing the output of a simulation. In many applications, we may be interested in...
Multivariate Standardized Time Series for Steady-State Simulation Output Analysis
Simulation statistical analysis multivariate steady-state output analysi
2015/7/8
The theory of standardized time series, initially proposed to estimate a single steady-state mean from the output of a simulation, is extended to the case where more than one steady-state mean is to b...
Regenerative Steady-State Simulation of Discrete-Event Systems
Regenerative Steady-State Simulation Discrete-Event Systems
2015/7/8
The regenerative method possesses certain asymptotic properties that dominate those of other steady-state simulation output analysis methods, such as batch means. Therefore, applying the regenerative ...
Capacity of Finite State Markov Channels with General Inputs
Capacity Finite State Markov Channels General Inputs
2015/7/8
We study new formulae based on Lyapunov exponents for entropy, mutual information, and capacity of finite state discrete time Markov channels. We also develop a method for directly computing mutual in...
Empirical Performance of Bias-reducing Estimators for Regenerative Steady-State Simulations
Bias-reducing estimators regeneration simulation
2015/7/6
When simulating a stochastic system, simulationists often are interested in estimating various steady-state performance measures. The classical point estimator for such a measure involves simply takin...
The Initial Transient Problem for Steady-State Output Analysis
Initial Transient Problem Steady-State Output Analysis
2015/7/6
This tutorial is concerned with providing an overview of the key issues that arise in consideration of the initial transient problem for steady-state simulations. In addition, we will discuss the rela...