probability sampling造句
例句與造句
- Standard practice for probability sampling of materials
材料的概率取樣的標(biāo)準(zhǔn)操作規(guī)程 - Practice for probability sampling of materials
材料概率取樣慣例 - Practice for acceptance of evidence based on the results of probability sampling
根據(jù)概率取樣結(jié)果進(jìn)行數(shù)據(jù)驗(yàn)收的慣例 - Random probability samples
隨機(jī)概率抽樣 - Non - probability sampling
非概率抽樣 - It's difficult to find probability sampling in a sentence. 用probability sampling造句挺難的
- Standard practice for acceptance of evidence based on the results of probability sampling
根據(jù)概率取樣結(jié)果所得數(shù)據(jù)驗(yàn)收的標(biāo)準(zhǔn)實(shí)施規(guī)范 - Standard guide for using probability sampling methods in studies of indoor air quality in buildings
建筑物中室內(nèi)空氣質(zhì)量研究用概率取樣法的標(biāo)準(zhǔn)導(dǎo)則 - Inaccuracies in survey data attributable to “ the luck of the draw " in creating a probability sample
在產(chǎn)生概率抽樣時(shí)由于抽樣不足而造成的數(shù)據(jù)偏差 - Admissibility of strict ps sampling scheme in class of unequal probability sampling scheme without replacement
抽樣方案在不放回不等概率抽樣方案中的可容許性 - A type of probability sample in which aggregations of sampling units , called clusters , are sampled at some stage in the process
是一種將樣本單元聚集在一起的隨機(jī)抽樣法.樣本群在抽樣的某一步驟被抽出 - A kind of probability sample in which a set interval is applied to a list often population to identity elements included in the sample ( e . g . , picking every 10th name )
一種概率抽樣.以一定的間隔來(lái)從人口名單中抽取所需的樣本(如:每隔10個(gè)人抽取一次) - In telephone surveys , a technique for creating a probability sample by randomly generating telephone numbers . by using this method , all numbers ( including unlisted ) have an equal chance of being called
在電話調(diào)查中使用的一種方法,它以隨機(jī)產(chǎn)生的電話號(hào)碼作為隨機(jī)抽樣的樣本.通過(guò)這種方法,使所有號(hào)碼(包括未被列入電話號(hào)碼簿的電話號(hào)碼)都有同等的被抽樣的機(jī)會(huì) - First , this paper gives an introduction of some methods of unequal probability sampling , their estimators and variance estimators , including sampling with pps with replacement , methods of sampling without replacement suggested by brewer , durbin , sampford , des raj , murthy , rao - hartley - cochran . then , at the basis of rao and bayless ' s study , we consider that population can be splited two random subpopulations , which are respectively drawn from different infinite super - populations , and compare the stabilities of estimators of the methods that given above . we find that the minor difference between two super - populations has great effect on the efficiency of the estimators for the population with moderately large coefficient of variation ( c . v . )
本文首先從理論上介紹了若干種不等概率抽樣方法，它們的估計(jì)量、估計(jì)量的方差及其估計(jì)，其中包括有放回ppz及pps抽樣，不放回不等概率抽樣中的brewer 、 durbin 、 sampford 、 desraj ， murthy 、 rao - hartley - cochran等人的方法；其次，在rao和bayless兩人就樣本單元數(shù)n = 2的情形對(duì)上述抽樣方法進(jìn)行比較的基礎(chǔ)上，將總體隨機(jī)地分成兩個(gè)子總體，視每個(gè)子總體取自不同的線性超總體，在文中，我們利用計(jì)算機(jī)實(shí)現(xiàn)隨機(jī)分組，并通過(guò)畫(huà)圖比較各方法估計(jì)量的穩(wěn)定性，結(jié)果表明，對(duì)變異系數(shù)c . v . ( x )較大的總體而言，兩個(gè)超總體之間的微小差異將對(duì)估計(jì)量的穩(wěn)定性產(chǎn)生很大的影響，從而說(shuō)明rao和bayless的比較結(jié)果還不夠完善。