P(w,) = and P(w2) = 1 – P(w1)The two training points for w1 are xa,w1The two training points for w2 are xa,w, = 7 and xp,w2O and xp.w, = 6= 9Please, (a) find the simplest discriminant functions for the Bayes Decision Rule,

We are given the following information: P(ω₁) = 3/4 and P(ω₂) = 1 - P(ω₁)Two training points for ω₁:…

Answered: ■ P(w₁)= and P(w₂) = 1 - P(w₁) 0 and…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Blank Filling Question. No work is required or graded. The amount of water used by the production facilities of a plant varies. Observations on water usage and other, possibly related, variables were collected for 17 months. The following model is fitted: USAGE = Bo + Bi TEMP + B2 PROD+ B3 DAYS+ B4 PAYR + Bs HOUR + E where the response variable is USAGE = monthly water usage (gallons/100) and the explanatory variables are TEMP average monthly temperature (°F) amount of production number of operating days in the month number of people on the monthly plant payroll PROD %3D DAYS = PAYR HOUR number of hours shut down for maintenance %3D Below is the selected SAS output with edit. Dependent Variable:JSAGE monthly water usage (gallons/100) Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr>F Model Error 113.54388 Corrected Total 319.50011 esc 20 000 000 F4 * FS F1 F2 F3 F7 @ $ % & * 3 4 5 6 7 9 Q W E R Y U A S F G K
When coastal power stations take in large quantities of cooling water, it is inevitable that a number of fish are drawn in with the water. Various methods have been designed to screen out the fish. A particular article examined intake fish catch at an English power plant and several other variables thought to affect fish intake. y = fish intake (number of fish) = water temperature (°C) X1 x2 x3 X4 = number of pumps running = sea state (values 0, 1, 2, or 3) = speed (knots) Part of the data given in the article were used to obtain the estimated regression equation (based on n = 26). SSRegr = 1486.4 and SSResid = 2230.3 were also calculated. y = 92 2.18x₁-19.20x29.38x3 + 2.32x4 (a) What proportion of observed variation in fish intake can be explained by the model relationship? (Round your answer to four decimal places, if needed.) R² = (b) Estimate the value of o. (Round your answer to three decimal places, if needed.) Se (c) Calculate adjusted R². (Round your answer to four decimal…
a survey showed that 20 percent of the offereed meals to employees and 15 percent offered meals for the paid extras . which is greater quanity A : the percent that offered to their employees but not the paid extras quanity b: 16 percent.
Let us measure the degree of relationship between the performance rank obtained by the ten trainees during the first and second evaluation period. Student trainee Rank 1st evaluation Rank 2nd evaluation A 8 7 B 2 5 C 7 10 D 1 4 E 4 2 F 9 6 G 3 1 H 6 9 I 10 8 J 5 3 State your hypothesis and show your solution and state your final conclusion.
Determine the covariance and variogram models you get
Fit 1: y = 6.5x+3 Fit 2: y = 4.5x+5 x y 4 35 11 68 14 102 19 130 26 171 32 200 37 230 42 259 43 298 48 325 Determine which of the relations is the best fit for the data, using your preerred goodness of fit method with no inbuilt functions. Please provide steps taken.

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■ P(w₁)= and P(w₂) = 1 - P(w₁) 0 and Xb,w₁ = 6 The two training points for w₁ are xa,w₁ = = 9 The two training points for w₂ are xa,w₂ = 7 and Xb,w₂ Please, (a) find the simplest discriminant functions for the Bayes Decision Rule = =