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Applied Statistical Methods in Agriculture, Health and Life Sciences

Autor Bayo Lawal
en Limba Engleză Hardback – 24 sep 2014
This textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs, including MINITAB and R. This textbook is developed for undergraduate students in agriculture, nursing, biology and biomedical research. Graduate students will also find it to be a useful way to refresh their statistics skills and to reference software options. The unique combination of examples is approached using MINITAB and R for their individual strengths. Subjects covered include among others data description, probability distributions, experimental design, regression analysis, randomized design and biological assay. Unlike other biostatistics textbooks, this text also includes outliers, influential observations in regression and an introduction to survival analysis. Material is taken from the author's extensive teaching and research in Africa, USA and the UK. Sample problems, references and electronic supplementary material accompany each chapter.
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Specificații

ISBN-13: 9783319055541
ISBN-10: 3319055542
Pagini: 799
Ilustrații: XXXIII, 799 p. 536 illus., 61 illus. in color.
Dimensiuni: 155 x 235 x 48 mm
Greutate: 1.4 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Public țintă

Upper undergraduate

Cuprins

​Table of Contents attached as well. Introduction.- Frequency Distributions.- Numerical Description of Data.- Probability and Probability Distributions.- Estimation and Hypothesis Testing.- Regression Analysis.- Categorical Data Analysis.- Experimental Design.- The Completely Randomized Design.- The Randomized Complete Block Design.- Multiple Blocking Designs.- Analysis of Covariance.- Factorial Treatments Designs.- The Split-Plot Design.- Incomplete Block Design.- Quantal-Bioassay.- Repeated Measures Design.- Survival Analysis.

Notă biografică

Bayo Lawal is Professor of Statistics at Kwara State University, Malete, Kwara State Nigeria. He received his B.Sc. (Hons) degree in Mathematics from the Ahmadu Bello University, Nigeria and his Master’s degree in Biometry from the University of Reading, UK. His Ph.D. in Statistics is from the University of Essex, UK. Professor Lawal has taught for several years at the University of Ilorin, Nigeria, St Cloud State University, St Cloud, MN, Temple University in Philadelphia, USA. He was a visiting professor in the department of Biometry and Epidemiology (now department of Biostatistics) at the Medical University of South Carolina, Charleston, SC between 2009 and 2000. He also served as chair of the Departments of Statistics at St Cloud State University, MN, USA and at the University of Ilorin in Nigeria. He has also served as Dean of the School of Sciences, Auburn University at Montgomery between 2004 and 2008 as well as the Dean of the School of Arts and Sciences, and Interim Academic Vice-President at the America University of Nigeria, Yola, Nigeria between 2008 and 2011. He is currently serving as head of the Department of Statistics and Mathematical Sciences at Kwara State University, Malete, Nigeria.

Textul de pe ultima copertă

This textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs, including MINITAB and R. This textbook is developed for undergraduate students in agriculture, nursing, biology and biomedical research. Graduate students will also find it to be a useful way to refresh their statistics skills and to reference software options. The unique combination of examples is approached using MINITAB and R for their individual strengths. Subjects covered include among others data description, probability distributions, experimental design, regression analysis, randomized design and biological assay. Unlike other biostatistics textbooks, this text also includes outliers, influential observations in regression and an introduction to survival analysis. Material is taken from the author's extensive teaching and research in Africa, USA and the UK. Sample problems, references and electronic supplementary material accompany each chapter.

Caracteristici

No matter the statistical software program you use, this book will teach you to apply crucial statistical methods to research questions Definitive introductory text in statistics is developed for students in agriculture, nursing, biology and biomedical research to showcase development of new tools and theories for analysis, diagnostics and methodology Unique combination of examples are approached from different perspectives highlight the strength of statistical software programs Stata, MINITAB and R for particular functions Features fully optimized ebook and electronic supplementary material for easy use Includes supplementary material: sn.pub/extras