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相关概念视频

Classification of Systems-II01:31

Classification of Systems-II

146
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
146
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

106
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
106
Random Variables01:09

Random Variables

12.0K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
12.0K
Noncompartmental Analysis: Statistical Moment Theory00:56

Noncompartmental Analysis: Statistical Moment Theory

105
Noncompartmental analyses leverage statistical moment theory to examine time-related changes in macroscopic events, encapsulating the collective outcomes stemming from the constituent elements in play. Statistical moment theory is a mathematical approach used to describe the time course of drug concentration in the body without assuming a specific compartmental model. SMT provides insights into drug absorption, distribution, metabolism, and elimination by treating drug concentration versus time...
105
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

243
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
243
Linear time-invariant Systems01:23

Linear time-invariant Systems

258
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
258

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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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一个时间变化的混合物整数值值自回归过程,由解释变量驱动.

Danshu Sheng1, Dehui Wang1, Jie Zhang2

  • 1School of Mathematics and Statistics, Liaoning University, Shenyang 110031, China.

Entropy (Basel, Switzerland)
|February 23, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了一个新的时间变化的整数值值自回归模型,带有解释变量. 模型 模型的模型

关键词:
沃尔德的测试 沃尔德的测试解释变量是一个解释变量.混合物稀释操作员的操作人员参数估计的参数估计.值整数值的自行回归模型

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科学领域:

  • 统计 统计 统计 统计
  • 计量经济学 计量经济学
  • 时间序列分析时间序列分析

背景情况:

  • 整数值时间序列模型对于分析计数数据至关重要.
  • 现有的门自回归模型可能无法完全捕捉时间变化的动态和外部影响.

研究的目的:

  • 引入一种由解释变量驱动的全数值值自回归过程.
  • 调查这个新模型的基本概率和统计属性.
  • 为拟议的模型开发和分析估计和推断方法.

主要方法:

  • 使用条件最小平方 (CLS) 和条件最大概率 (CML) 方法推导估计器.
  • 确定CLS估计器的非对称性属性.
  • 使用CLS和CML得分函数用于值参数推断.
  • 开发了三种测试统计数据,以检测逐块结构和解释变量.

主要成果:

  • 这篇论文详细介绍了拟议模型的理论基础和属性.
  • 建立了估计和推断程序,包括非对称性质.
  • 模拟研究验证了模型的性能.
  • 该模型成功地应用于VOW股票交易量的真实数据.

结论:

  • 引入的时间变化的整数值值自回归模型为计数时间序列提供了灵活的框架.
  • 开发的估计和测试程序在统计学上是合理的,并且可以在实践中应用.
  • 该模型在分析金融时间序列数据方面表现出有效性,例如股票交易量.