語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
The linear model and hypothesis = a ...
~
SpringerLink (Online service)
The linear model and hypothesis = a general unifying theory /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
The linear model and hypothesis/ by George A.F. Seber.
其他題名:
a general unifying theory /
作者:
Seber, George A.F.
出版者:
Cham :Imprint: Springer, : 2015.,
面頁冊數:
ix, 205 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-21930-1
ISBN:
9783319219301
The linear model and hypothesis = a general unifying theory /
Seber, George A.F.
The linear model and hypothesis
a general unifying theory /[electronic resource] :by George A.F. Seber. - Cham :Imprint: Springer,2015. - ix, 205 p. :ill., digital ;24 cm. - Springer series in statistics,0172-7397. - Springer series in statistics..
1.Preliminaries -- 2. The Linear Hypothesis -- 3.Estimation -- 4.Hypothesis Testing -- 5.Inference Properties -- 6.Testing Several Hypotheses -- 7.Enlarging the Model -- 8.Nonlinear Regression Models -- 9.Multivariate Models -- 10.Large Sample Theory: Constraint-Equation Hypotheses -- 11.Large Sample Theory: Freedom-Equation Hypotheses -- 12.Multinomial Distribution -- Appendix -- Index.
This book provides a concise and integrated overview of hypothesis testing in four important subject areas, namely linear and nonlinear models, multivariate analysis, and large sample theory. The approach used is a geometrical one based on the concept of projections and their associated idempotent matrices, thus largely avoiding the need to involve matrix ranks. It is shown that all the hypotheses encountered are either linear or asymptotically linear, and that all the underlying models used are either exactly or asymptotically linear normal models. This equivalence can be used, for example, to extend the concept of orthogonality in the analysis of variance to other models, and to show that the asymptotic equivalence of the likelihood ratio, Wald, and Score (Lagrange Multiplier) hypothesis tests generally applies.
ISBN: 9783319219301
Standard No.: 10.1007/978-3-319-21930-1doiSubjects--Topical Terms:
670129
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
LC Class. No.: QA276
Dewey Class. No.: 519.535
The linear model and hypothesis = a general unifying theory /
LDR
:02219nam a2200325 a 4500
001
838615
003
DE-He213
005
20160414092659.0
006
m d
007
cr nn 008maaau
008
160616s2015 gw s 0 eng d
020
$a
9783319219301
$q
(electronic bk.)
020
$a
9783319219295
$q
(paper)
024
7
$a
10.1007/978-3-319-21930-1
$2
doi
035
$a
978-3-319-21930-1
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA276
072
7
$a
PBT
$2
bicssc
072
7
$a
MAT029000
$2
bisacsh
082
0 4
$a
519.535
$2
23
090
$a
QA276
$b
.S443 2015
100
1
$a
Seber, George A.F.
$3
1069862
245
1 4
$a
The linear model and hypothesis
$h
[electronic resource] :
$b
a general unifying theory /
$c
by George A.F. Seber.
260
$a
Cham :
$c
2015.
$b
Imprint: Springer,
$b
Springer International Publishing :
300
$a
ix, 205 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Springer series in statistics,
$x
0172-7397
505
0
$a
1.Preliminaries -- 2. The Linear Hypothesis -- 3.Estimation -- 4.Hypothesis Testing -- 5.Inference Properties -- 6.Testing Several Hypotheses -- 7.Enlarging the Model -- 8.Nonlinear Regression Models -- 9.Multivariate Models -- 10.Large Sample Theory: Constraint-Equation Hypotheses -- 11.Large Sample Theory: Freedom-Equation Hypotheses -- 12.Multinomial Distribution -- Appendix -- Index.
520
$a
This book provides a concise and integrated overview of hypothesis testing in four important subject areas, namely linear and nonlinear models, multivariate analysis, and large sample theory. The approach used is a geometrical one based on the concept of projections and their associated idempotent matrices, thus largely avoiding the need to involve matrix ranks. It is shown that all the hypotheses encountered are either linear or asymptotically linear, and that all the underlying models used are either exactly or asymptotically linear normal models. This equivalence can be used, for example, to extend the concept of orthogonality in the analysis of variance to other models, and to show that the asymptotic equivalence of the likelihood ratio, Wald, and Score (Lagrange Multiplier) hypothesis tests generally applies.
650
2 4
$a
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
$3
670129
650
2 4
$a
Statistical Theory and Methods.
$3
671396
650
1 4
$a
Statistics.
$3
556824
650
0
$a
Mathematical statistics.
$3
527941
650
0
$a
Statistical hypothesis testing.
$3
527723
650
0
$a
Linear models (Statistics)
$3
632956
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
830
0
$a
Springer series in statistics.
$3
882180
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-21930-1
950
$a
Mathematics and Statistics (Springer-11649)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入