For Sums of Bivariate Random Variables

نویسنده

  • Minoru Sakaguchi
چکیده

FOR SUMS OF BIVARIATE RANDOM VARIABLES Minoru Sakaguchi Osaka University (Received March 24, 1978) This paper explores optimal strategies for the problem of choosing several best from a set of sequentially observed bivariate random variables. For example, a couple of husband and wife to make a plan of recreations during a year, has this problem when deciding which offer (or amount of satisfaction) to accept and which to reject. Each offer on arrival is examined first by husband and, if accepted by him, then secondly by his wife. If she rejects it, the offer is rejected. Therefore the offer is "selected" only when both of husband and wife accept it. We assume that the offers are iid bivariate r.v.'s and at most n can be observed. Each offer on arrival is either selected or rejected; an offer rejected now cannot be selected later on. The objective of husband (wife) is to maximize the expected value of the sum, from his (her) standpoint, of the offers actually selected. For another example, the problem of optimal selection of r secretaries to be employed by two university professors in the same department belongs also to our problem. By using dynamic programming technique we develope the optimal procedure for this non-cooperative, sequential, bilateral game and discuss several simple examples. It is shown that it does not matter to husband ( or wife) whether he ( or she) decides first or second. It is also shown that it does matter to either side whether it decides first or second, if the number of rejections available to each side is given beforehand.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Strong Laws for Weighted Sums of Negative Dependent Random Variables

In this paper, we discuss strong laws for weighted sums of pairwise negatively dependent random variables. The results on i.i.d case of Soo Hak Sung [9] are generalized and extended.

متن کامل

Strong Convergence of Weighted Sums for Negatively Orthant Dependent Random Variables

We discuss in this paper the strong convergence for weighted sums of negatively orthant dependent (NOD) random variables by generalized Gaussian techniques. As a corollary, a Cesaro law of large numbers of i.i.d. random variables is extended in NOD setting by generalized Gaussian techniques.

متن کامل

Complete Convergence and Some Maximal Inequalities for Weighted Sums of Random Variables

Let  be a sequence of arbitrary random variables with  and , for every  and  be an array of real numbers. We will obtain two maximal inequalities for partial sums and weighted sums of random variables and also, we will prove complete convergence for weighted sums , under some conditions on  and sequence .

متن کامل

Asymptotic Behavior of Weighted Sums of Weakly Negative Dependent Random Variables

Let be a sequence of weakly negative dependent (denoted by, WND) random variables with common distribution function F and let be other sequence of positive random variables independent of and for some and for all . In this paper, we study the asymptotic behavior of the tail probabilities of the maximum, weighted sums, randomly weighted sums and randomly indexed weighted sums of heavy...

متن کامل

On the Complete Convergence ofWeighted Sums for Dependent Random Variables

We study the limiting behavior of weighted sums for negatively associated (NA) random variables. We extend results in Wu (1999) and a theorem in Chow and Lai (1973) for NA random variables.

متن کامل

The Almost Sure Convergence for Weighted Sums of Linear Negatively Dependent Random Variables

In this paper, we generalize a theorem of Shao [12] by assuming that is a sequence of linear negatively dependent random variables. Also, we extend some theorems of Chao [6] and Thrum [14]. It is shown by an elementary method that for linear negatively dependent identically random variables with finite -th absolute moment the weighted sums converge to zero as where and is an array of...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009