概率论与数理统计(英文) 第九章

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174 9. Nonparametric Statistics

Statistical analyses that do not depend upon the

knowledge of the distribution and parameters of

the population are called nonparametric or

distribution-free methods.

不依赖于总体的分布及其参数的统计方法称为非参数方法或非分布方法。

9.1 Sign Test 符号检验

1

The simplest of all nonparametric methods is the sign test, which

is usually used to test the significance of the difference between two

means in a paired experiment.

最简单的非参数检验是符号检验

检验两个总体均值差的显著程度

It is particularly suitable when the various pairs are observed under

different conditions, a case in which the assumption of normality

may not hold. However, because of its simplicity, the sign test is

often used even though the populations are normally distributed. As

is implied by its name in this test only the sign of the difference 175 between the paired variates is used.

若两个总体的均值相等,那么符号‘+’、‘-’的概率一样。

D = sign of (X1-X2 )

If p denotes the probability of a difference D being positive and

q the probability of its being negative, we have as hypothesis p=1/2.

appropriate test statistic is X , X~B(n, p), X --- N(‘+”)

To test the hypothesis

012:0H

112:0H

we will reject 0H in favor of 1H only if the proportion of plus

signs is sufficiently less than 1/2, that is , when the value x of our

random variable is small. Hence, if the computed P-value

12()PPXxwhenp

is less than or equal to the significance level , we reject 0H in

favor of 1H.

To test the hypothesis

012:0H

112:0H 176 we reject 0H in favor 1H when the proportion of plus signs is

significantly less than or significantly greater than 1/2. This, of

course, is equivalent to x being sufficiently small or sufficiently

large, respectively. Therefore, if /2xn and the computed P-value

122()PPXxwhenp

is less than or equal to , or if /2xn and the computed P-value

122()PPXxwhenp

is less than or equal to , we reject 0H in favor 1H.

Example 9.1.1

A taxi company is trying to decide whether the use of radial tires

instead of regular belted tires improves fuel economy. Sixteen cars

are equipped with radial tires and driven over a prescribed test

course.

Without changing drivers, the same cars are then equipped

with the regular belted tires and driven once again over the test

course. The gasoline consumption, in kilometers per liter, was

recorded as follows:

Car Radial tires Belted tires D

1 4.2 4.1 +

2 4.7 4.9 -

3 6.6 6.2 +

4 7.0 6.9 + 177 5 6.7 6.8 -

6 4.5 4.4 +

7 5.7 5.7

8 6.0 5.8 +

9 7.4 6.9 +

10 4.9 4.9

11 6.1 6.0 +

12 5.2 4.9 +

13 5.7 5.3 +

14 6.9 6.5 +

15 6.8 7.1 -

16 4.9 4.8 +

Can we conclude using the 5% level of significance that cars

equipped with radial tires have better fuel economy than those

equipped with regular belted tires?

Solution Let 1 and 2 represent the mean kilometers per liter for

cars equipped with radial and belted tires, respectively,

1. 012:0H. 112:0H

2. Test statistics: Binomial variable X with p=1/2.

3. 0.05

4. Calculations: After replacing each positive difference by a “+” 178 symbol and each negative difference by a “-” symbol, and then

discarding the two zero differences, we obtain the sequence

+ - + + - + + + + + + + -+

for which 14n and 11x. Using the normal-curve approximation,

7np, 14/2npq,

we find

10.57(11)(1.87)0.030714/2XnpPPXPPZnpq

5. Decision: Since 0.03070.05P, we reject 0H and conclude that,

on the average, radial tires do improve fuel economy.

符号检验的利弊

n 必须比较大

因为对于 n =5的样本,会出现永远不拒绝“总体均值相等“的假设。( 极端情形2(1/2)5=0.0625,全部为正号情形 )

对双边检验,n至少6以上,越大越好。

179 9-2 Rank-Sum Test 秩和检验

the Wilcoxon rank-sum test or Wilcoxon

two

–sample test

is an appropriate alternative to the two-sample

t-test described

a sample (x1,x2, …,xn1) from X’s population

a sample (y1,y2, …,yn2) from Y’s population

Hypothesis: 12 总体均值是否相等

n= n1 +n2

In Wilcoxon’s test:

These n variates

are

graded

(or ranked)

according to in creasing size

n个变量从小到大排列并编号

x1, y1, x2, x3, y2, …

1 2 3 4 5

w1=1+3+4+…