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Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Title
Applied statistical methods in agriculture, health and life sciences / Bayo Lawal.
ISBN
9783319055558 electronic bk.
3319055550 electronic bk.
9783319055541
Published
Cham : Springer, 2014.
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-319-05555-8 doi
Call Number
QH323.5
Dewey Decimal Classification
570.727
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
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.
