We now introduce a poisson intensity parameter for every time point and denote the parameter ( ) that gives the canonical exponential family representation as above by . we choose to employ a linear model connecting the time points with the canonical parameter theta of the poisson distribution above, i. e., =+ in other words, we choose a generalized linear model with poisson distribution and its canonical link function. that also means that conditioned on , we assume the to be independent. imagine we observe the following data: =1 1 outbreaks =2 3 outbreaks =4 10 outbreaks we want to produce a maximum likelihood estimator for . to this end, write down the log likelihood ℓ of the model for the provided three observations at , , and (plug in their values).

35 points, ! name one pair of congruent sides. a. segments pr and sv b. segments qr and st c. segments rp and ts d. segments pq and vs

What are the constants in this expression? -10.6+9/10+2/5m-2.4n+3m

An airplane consumes fuel at a constant rate while flying through clear skies, and it consumes fuel at a rate of 64 gallons per minute while flying through rain clouds. let c represent the number of minutes the plane can fly through clear skies and r represent the number of minutes the plane can fly through rain clouds without consuming all of its fuel. 56c+64r < 900056c+64r< 9000 according to the inequality, at what rate does the airplane consume fuel while flying through clear skies, and how much fuel does it have before takeoff? the airplane consumes fuel at a rate of gallons per minute while flying through clear skies, and it has gallons of fuel before takeoff. does the airplane have enough fuel to fly for 60 minutes through clear skies and 90 minutes through rain clouds?