Let us now combine the transition matrix and the payoff matrix to find terjemahan - Let us now combine the transition matrix and the payoff matrix to find Bahasa Indonesia Bagaimana mengatakan

Let us now combine the transition m

Let us now combine the transition matrix and the payoff matrix to find the value of a
customer to the firm. First, consider an initial browser. S/he has a probability of 0.8 of staying a
browser, thus causing a -$2 payoff to the firm, and a 0.2 probability of becoming a buyer, thus
causing a $3 payoff to the firm. Therefore, the expected value of the payoff to the firm in period
1 is 0.8*(-2) + 0.2*3 = -1 or cost to the firm of $1. Likewise, the expected value of the payoff to
the firm in period 1 from an initial buyer is 0.4*(-1) + 0.6*9 = 5 or a benefit to the firm of $5. As
a short-hand, we combine payoffs for both an initial browser (-1) and an initial buyer (5) and
express them as {-1, 5}. This is shown in the last column of Table 1
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Hasil (Bahasa Indonesia) 1: [Salinan]
Disalin!
Let us now combine the transition matrix and the payoff matrix to find the value of acustomer to the firm. First, consider an initial browser. S/he has a probability of 0.8 of staying abrowser, thus causing a -$2 payoff to the firm, and a 0.2 probability of becoming a buyer, thuscausing a $3 payoff to the firm. Therefore, the expected value of the payoff to the firm in period1 is 0.8*(-2) + 0.2*3 = -1 or cost to the firm of $1. Likewise, the expected value of the payoff tothe firm in period 1 from an initial buyer is 0.4*(-1) + 0.6*9 = 5 or a benefit to the firm of $5. Asa short-hand, we combine payoffs for both an initial browser (-1) and an initial buyer (5) andexpress them as {-1, 5}. This is shown in the last column of Table 1
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Hasil (Bahasa Indonesia) 2:[Salinan]
Disalin!
Mari kita menggabungkan matriks transisi dan matriks hasil untuk menemukan nilai dari
pelanggan untuk perusahaan. Pertama, pertimbangkan browser awal. S / ia memiliki probabilitas 0,8 tinggal sebuah
browser sehingga menyebabkan - $ 2 hasil untuk perusahaan, dan probabilitas 0,2 menjadi pembeli, sehingga
menyebabkan $ 3 hasil untuk perusahaan. Oleh karena itu, nilai yang diharapkan dari hasil untuk perusahaan pada periode
1 adalah 0,8 * (- 2) + 0.2 * 3 = -1 atau biaya untuk perusahaan dari $ 1. Demikian juga, nilai yang diharapkan dari hasil untuk
perusahaan dalam periode 1 dari pembeli awal adalah 0,4 * (- 1) + 0,6 * 9 = 5 atau manfaat bagi perusahaan sebesar $ 5. Sebagai
tangan pendek, kami menggabungkan hadiah untuk kedua browser awal (-1) dan pembeli awal (5) dan
mengungkapkannya sebagai {-1, 5}. Hal ini ditunjukkan dalam kolom terakhir dari Tabel 1
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