Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
A First Course in Linear Models and ...
~
SpringerLink (Online service)
A First Course in Linear Models and Design of Experiments
Record Type:
Language materials, printed : Monograph/item
Title/Author:
A First Course in Linear Models and Design of Experiments/ by N. R. Mohan Madhyastha, S. Ravi, A. S. Praveena.
Author:
Madhyastha, N. R. Mohan.
other author:
Ravi, S.
Description:
XIV, 230 p. 26 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Statistics . -
Online resource:
https://doi.org/10.1007/978-981-15-8659-0
ISBN:
9789811586590
A First Course in Linear Models and Design of Experiments
Madhyastha, N. R. Mohan.
A First Course in Linear Models and Design of Experiments
[electronic resource] /by N. R. Mohan Madhyastha, S. Ravi, A. S. Praveena. - 1st ed. 2020. - XIV, 230 p. 26 illus.online resource.
Linear Estimation -- Linear Hypotheses and Their Tests -- Block Designs -- Row-Column Designs -- Factorial Experiments -- Analysis of Covariance -- Missing Plot Technique -- Split Plot Design.
This textbook presents the basic concepts of linear models, design and analysis of experiments. With the rigorous treatment of topics and provision of detailed proofs, this book aims at bridging the gap between basic and advanced topics of the subject. Initial chapters of the book explain linear estimation in linear models and testing of linear hypotheses, and the later chapters apply this theory to the analysis of specific models in designing statistical experiments. The book includes topics on the basic theory of linear models covering estimability, criteria for estimability, Gauss–Markov theorem, confidence interval estimation, linear hypotheses and likelihood ratio tests, the general theory of analysis of general block designs, complete and incomplete block designs, general row column designs with Latin square design and Youden square design as particular cases, symmetric factorial experiments, missing plot technique, analyses of covariance models, split plot and split block designs. Every chapter has examples to illustrate the theoretical results and exercises complementing the topics discussed. R codes are provided at the end of every chapter for at least one illustrative example from the chapter enabling readers to write similar codes for other examples and exercise.
ISBN: 9789811586590
Standard No.: 10.1007/978-981-15-8659-0doiSubjects--Topical Terms:
1253516
Statistics .
LC Class. No.: QA276-280
Dewey Class. No.: 519.5
A First Course in Linear Models and Design of Experiments
LDR
:02807nam a22003855i 4500
001
1027310
003
DE-He213
005
20201113155109.0
007
cr nn 008mamaa
008
210318s2020 si | s |||| 0|eng d
020
$a
9789811586590
$9
978-981-15-8659-0
024
7
$a
10.1007/978-981-15-8659-0
$2
doi
035
$a
978-981-15-8659-0
050
4
$a
QA276-280
072
7
$a
PBT
$2
bicssc
072
7
$a
MAT029000
$2
bisacsh
072
7
$a
PBT
$2
thema
082
0 4
$a
519.5
$2
23
100
1
$a
Madhyastha, N. R. Mohan.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1323704
245
1 2
$a
A First Course in Linear Models and Design of Experiments
$h
[electronic resource] /
$c
by N. R. Mohan Madhyastha, S. Ravi, A. S. Praveena.
250
$a
1st ed. 2020.
264
1
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2020.
300
$a
XIV, 230 p. 26 illus.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
505
0
$a
Linear Estimation -- Linear Hypotheses and Their Tests -- Block Designs -- Row-Column Designs -- Factorial Experiments -- Analysis of Covariance -- Missing Plot Technique -- Split Plot Design.
520
$a
This textbook presents the basic concepts of linear models, design and analysis of experiments. With the rigorous treatment of topics and provision of detailed proofs, this book aims at bridging the gap between basic and advanced topics of the subject. Initial chapters of the book explain linear estimation in linear models and testing of linear hypotheses, and the later chapters apply this theory to the analysis of specific models in designing statistical experiments. The book includes topics on the basic theory of linear models covering estimability, criteria for estimability, Gauss–Markov theorem, confidence interval estimation, linear hypotheses and likelihood ratio tests, the general theory of analysis of general block designs, complete and incomplete block designs, general row column designs with Latin square design and Youden square design as particular cases, symmetric factorial experiments, missing plot technique, analyses of covariance models, split plot and split block designs. Every chapter has examples to illustrate the theoretical results and exercises complementing the topics discussed. R codes are provided at the end of every chapter for at least one illustrative example from the chapter enabling readers to write similar codes for other examples and exercise.
650
0
$a
Statistics .
$3
1253516
650
1 4
$a
Statistical Theory and Methods.
$3
671396
650
2 4
$a
Statistics, general.
$3
671463
700
1
$a
Ravi, S.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1323705
700
1
$a
Praveena, A. S.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1323706
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789811586583
776
0 8
$i
Printed edition:
$z
9789811586606
856
4 0
$u
https://doi.org/10.1007/978-981-15-8659-0
912
$a
ZDB-2-SMA
912
$a
ZDB-2-SXMS
950
$a
Mathematics and Statistics (SpringerNature-11649)
950
$a
Mathematics and Statistics (R0) (SpringerNature-43713)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login