The impact of the random variable distribution (Gauss or Lognormal) describing soil stiffness on foundation deposits was assessed. The Monte Carlo simulation method was applied in the computations. The settlements of the strip foundation with the subsoil described by a single random variable and a random field were compared.Kamil yl...
We can define continuous variable as a variable that has infinite parts or divisions in any interval, for example: height in inches. A person can be...Become a member and unlock all Study Answers Start today. Try it now Create an account Ask a question Our experts can answer your toug...
such as heads or tails, playing cards, or the sides of dice. A continuous random variable can reflect an infinite number of possible values, such as the average rainfall in a region.
Example: Uniform Distribution A continuous random variable has a uniform distribution if its values are spread evenly over a certain range. Example: voltage output of an electric generator is between 123 V and 125 V. The actual voltage level may be anywhere in this range. 4...
Assumption #2: Group is a random sample from the population. Assumption #3: Your dependent variable should be measured at the ordinal or continuous level. Examples of ordinal variables include Likert scales (e.g., a 7-point scale from strongly agree through to strongly disagree), amongst other...
In statistics, a normal distribution, or Gaussian distribution, is a type of continuous probability distribution for a real random variable. The univariate normal distribution of the random variablexis a probability density function (pdf) that has the form ...
be another continuous random vector with joint probability density function and such that whenever . Then, Proof Importance samples Suppose that we need to compute the expected value of a function of a random vector by Monte Carlo integration. ...
Simple linear regression is a function that allows an analyst or statistician to make predictions about one variable based on the information that is known about another variable. Linear regression can only be used when one has two continuous variables—an independent variable and a dependent variable...
Assumption #1: Your dependent variable should be measured at the continuous level. Examples of such continuous variables include height (measured in feet and inches), temperature (measured in °C), salary (measured in US dollars), revision time (measured in hours), intelligence (measured using ...
The goal of RL is to train the agent to select the best possible actions to maximize the probability of attaining the wealth goal by the end of the investment period. Reinforcement Learning Toolbox™ provides several built-in agents that you can train in environments with either continuou...