Setting up a Monte Carlo Simulation in R A good Monte Carlo simulation starts with a solid understanding of how the underlying process works. For the purposes of this example, we are going to estimate the production rate of a packaging line. We are going to buy a set of machines that mak...
The use of simulation studies need not be restricted to researchers with advanced skills in statistics and computer programming, and such methods can be implemented by researchers with a variety of abilities and interests. The present paper provides an introduction to methods used for running ...
Poisson distribution is a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time or space if these events occur with a known average rate and independently of the time since the last event. The probability of observing k ...
The A-004, besides, exhibits a H2O rearrangement over the surface in the shape of a film. The H2O displacement can be attributing to an affinity of TiO2 surfaces (A-101, R-101, R-111, R-200, and A-103) toward AB9, causing that the bond strength between TiO2 and H2O decreases, ...
Thisbookisforuserswhoarefamiliarwithcomputationalmethods.IfyouwanttolearnabouttheadvancedfeaturesofR,includingthecomputer-intenseMonte-Carlomethodsaswellascomputationaltoolsforstatisticalsimulation,thenthisbookisforyou.GoodknowledgeofRprogrammingisassumed/required. ...
Following the old programming aphorism ofMake it work, make it right, make it fast, working the solution out in an iterative manner helped enabled me to develop a solution that produces valid results. Understanding of how to make it right enabled me not only to see the flaw in the code ...
Numerical computer simulations are being increasingly used to model the behavior of particles in various processing equipment, including screens (Cleary, 2003). It is expected that numerical simulation techniques such as the Discrete Element Method will gain wider application in the modeling of industrial...
You just reduce a task to its subtask. There are two possible first moves for the first player: take the leftmost number or the rightmost number. In the first case we are left with the interval[l + 1, r), in the second case – with the interval[l, r - 1). But if we count ...
The ability to generalize is an important feature of any intelligent agent. Not only because it may allow the agent to cope with large amounts of data, but also because in some environments, an agent with no generalization capabilities cannot learn. In t
DOE-2, EnergyPlus, TRNSYS and ESP-r are among the best-known BPS tools [6]. Through the creation of a behavioural model (reduced to a determined level of abstraction, which is then executed-calculated by a computer and analysed in its performance through the post-processing of the output ...