Data Acquisition and Analysis in Forestry & Horticulture
authored by: Rajiv Pandey, SEH Rizvi, G.P. SinghLength: 152 mm | Breadth: 16.02 mm | Height: 229 mm | Imprint: CONTENT VIBES | Weight: 650 GMS
This book will be available from 25-Apr-2025
Keywords
forestry experiment design, agricultural experiment analysis, statistical methods in agriculture, biological research experiments, experimental design in forestry, forestry research techniques, applied biological science statistics, agricultural statistical methods, forestry data interpretation, developing agricultural experiments, real world agricultural data analysis, practical agricultural statistics in research, biological experiment techniques, forestry statistical analysis methods, agricultural research data, statistical analysis from data collection, statistical sciences and biology, forestry data interpretation, practical experiments in biology, agricultural experiments with data interpretation, collaborative field trials in forestry, biological data experiment design, forestry statistical analysis book, research-ready statistics for agriculture, introductory statistics for agriculture design, applied statistical design in agriculture, experiment planning in agriculture, agricultural statistics bookThis book, Design and Analysis for Forestry and Agricultural Experiments, serves as an introductory guide to statistical designs and the analysis of real-world experiments in forestry and agriculture. Designed for researchers, scholars, and students in applied biological sciences, it simplifies complex statistical concepts and focuses on practical applications for experimental data collection, analysis, and interpretation. Featuring basic techniques and illustrative examples, the book addresses the needs of those conducting experiments aimed at deriving generalized results, even for readers with limited mathematical knowledge. Drawing on extensive interactions with scholars, researchers, and institutions like FRI Dehradun, BHU, and SKUAST-Jammu, the book integrates diverse insights and real-life examples. It acknowledges contributions from experts and collaborators, making it an essential resource for anyone seeking to enhance their understanding of experimental design and statistical analysis in forestry and agriculture.
1. Introduction
2. HypothesisTesting
3. AnalysisofVariance
4. TransformationofData
5. PostANOVATechniques
6. OrthogonalDesigns
7. FactorialExperiments
8. MissingPlotTechnique
9. AnalysisofCovariance
10. SplitPlotDesign
11. SeriesofExperiments
12. AugmentedDesign