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  1. Bog
  2. Matematik
  3. Sandsynlighedsregning og statistik

A First Course in Linear Models and Design of Experiments

Af: N. R. Mohan Madhyastha, A. S. Praveena, S. Ravi Engelsk Hardback

A First Course in Linear Models and Design of Experiments

Af: N. R. Mohan Madhyastha, A. S. Praveena, S. Ravi Engelsk Hardback
Tjek vores konkurrenters priser

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.

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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.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 230
ISBN-13: 9789811586583
Indbinding: Hardback
Udgave:
ISBN-10: 9811586586
Kategori: Sandsynlighedsregning og statistik
Udg. Dato: 14 nov 2020
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Verlag, Singapore
Oplagsdato: 14 nov 2020
Forfatter(e): N. R. Mohan Madhyastha, A. S. Praveena, S. Ravi
Forfatter(e) N. R. Mohan Madhyastha, A. S. Praveena, S. Ravi

Kategori Sandsynlighedsregning og statistik

ISBN-13 9789811586583

Sprog Engelsk

Indbinding Hardback

Sider 230

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 14 nov 2020

Oplagsdato 14 nov 2020

Forlag Springer Verlag, Singapore

Kategori sammenhænge