Assume that the daily maximum wind speed at a given location follows a Gaussiandistribution with a mean speed of 15 mph and a coefficient of variation of 67%. (a)Determine the asymptotic distribution of the annual maximum wind speed for thelocation, that is, specify the asymptotic type of the distribution and the associatedparameters. (b) Using the results of (a), derive the corresponding asymptoticdistribution for the 50-year maximum wind speed and estimate its mean value.

The given data is as follows:Population mean, Coefficient of variation,

Answered: Assume that the daily maximum wind…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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3) Suppose that in the Bay of Fundy, the mean high tide at a particular harbor is 5.4 m above mean sea level with a coefficient of variation of 20% and assume that this is normally distributed. For simplicity, assume that there are two high tides per day and that a year is made up of twelve 30-day months. a) Determine the asymptotic distribution of the monthly maximum tide height at the harbor (ie. specify the form of the distribution and its parameters). b) Using the results of part (a), derive the corresponding distribution for the 50-year maximum tide height and determine the 50-year most probable maximum tide height.
Utility is a type of function that occurs in economics. When a consumer receives x units of a certain product, a certain amount of pleasure, or utility U, is derived. The graph represents a typical utility function.
The following table gives data for the velocity of a sports car accelerating from 0 to 193 miles per hour over the course of 36 seconds (10 thousandths of an hour).
Suppose that X follows a lognormal distribution with w^2=4 and E(X)=10,000 a. Find the parameter theta for the distribution. Use 4 digits after the decimal point: b. Find the standard deviation of the process: Use 4 digits after the decimal point:
drivers of that Age - ]]], [16 – 17,1,55], [18 - 19,2,30], [20 - 24, 3, A traffic safety organization has compiled data in an urban region of Canada on the rate of non-fatal vehicle injury accidents, y, as a function of the age of the driver, x. The data is shown below. It is assumed that an injury accident affects either the driver or passengers or others external to the vehicle and does not result in death. Age Range of x, Designated Age Driver Category of Driver y, Number of Injury Accidents per 10 million km driven by drivers of that Age 16-17 1 55 18-19 2 30 20-24 3 24 25-29 4 22 30-39 5 14 40-49 6 13 50-59 7 12 60-69 8 10 70-79 9 14 10
A machine operator is required to reach between the tools of a vertical hydraulic press between each cycle of the press. Under fault conditions, the operator is at risk from a crushing injury due either (a) to the press tool falling by gravity or (b) to an unplanned (powered) stroke of the press. The expected frequencies of the failures that would lead to either of these effects are given in the table below: Frequency (per year) Effect 0.2 a 0.1 0.1 0.05 Failure type Flexible hose failure Detachment of press tool Electrical fault Hydraulic valve failure (i) a b a or b Given that the operator is at risk for 20 per cent of the time that the machine is operating, construct and quantify a simple fault tree to show the expected frequency of the top event (a crushing injury to the operator's hand).
Find the equation of the normal line tola curve y= at (26.3, -100.7) 2+1 Select one: Oa 26.30000 x+1.00166y (7456703)-0 Ob.x+100166y+(127.16703)-0 Oc x+100166y-(7456703B) -0 Od 100.70000 x+1.00166 (/456703) -0 Oe answers not in the choices
Here's a table with average monthly price of a stock from Jan 2021-July 2021. Month Price Jan 29000 Feb 27000 Mar 31000 Apr 30000 May 32000 June 28000 July 29000 Using a 3-period weighted moving average with weights (wt, wt-1, W-2) = (0.6, 0.2, 0.2), the predicted price August is Using an exponential smoothing model with = 0.4, and with the initial predicted price for Jan the same as the observed price for January, the predicted price for August is % Now, let's suppose that we finally observe that the price for August is 30000. The absolute percent error (APE) of your prediction for August is using the weighted moving average method and % using the exponential smoothing model. (Note: Round your answer to the nearest 2 decimal places. For your APE answer for example let's say you get 0.06786 from Excel, then you should type-in 6.79 as your answer here since it is represented as percentage. Do not enter any symbols other than integers and decimal.)
A study of a high-pressure inlet fogging method for a gas turbine engine analyzed a complete second-order model for y, heat rate (kilojoules per kilowat per hour) of a gas turbine as a function of two quantitative variables
(a) What is the coefficient of variation (CV)? Why do you study such variations? Explain using a real-life example.(b) Among the different measures of dispersion which one do you think is better and why?The following table gives the distribution of gas bills (GB’s) of some households (hhs) in a city. ( attached image ) (i) Calculate the ideal measures of dispersion.(ii) Make comments from your findings
Find out the required runway length for the airport of reference code 4D located at 450m above mean sea level. The runway effective gradient is 0.5%. The monthly mean maximum and mean daily temperatures of the hottest month of the year are 27 degrees C and 18 degrees C respectively.

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