This paper first gives out the existence of the multi object sample surveys optimum sample size,then analyses the recent research of this field,presents a new method of solving the multi object sample surveys opti...This paper first gives out the existence of the multi object sample surveys optimum sample size,then analyses the recent research of this field,presents a new method of solving the multi object sample surveys optimum sample size,and its mathematical proof.展开更多
The paper classifies the indicators of multi-object sample survey into two categories,i.e.,high cost indicators and low cost indicators starting from survey cost.The authors analyze the theoretical problems of sample ...The paper classifies the indicators of multi-object sample survey into two categories,i.e.,high cost indicators and low cost indicators starting from survey cost.The authors analyze the theoretical problems of sample design of multi-project sample survey under such classification,present multi-project sample design methods under the constraint of cost and conducts experimental analysis as well.展开更多
The paper discusses the method of multi purpose sample survey design used in China’s rural areas, selection of new outlet and the calculation of sampling error.
文摘This paper first gives out the existence of the multi object sample surveys optimum sample size,then analyses the recent research of this field,presents a new method of solving the multi object sample surveys optimum sample size,and its mathematical proof.
文摘The paper classifies the indicators of multi-object sample survey into two categories,i.e.,high cost indicators and low cost indicators starting from survey cost.The authors analyze the theoretical problems of sample design of multi-project sample survey under such classification,present multi-project sample design methods under the constraint of cost and conducts experimental analysis as well.
文摘The paper discusses the method of multi purpose sample survey design used in China’s rural areas, selection of new outlet and the calculation of sampling error.
