Contemporary Statistical Models for the Plant and Soil Sciences

Description

Despite its many origins in agronomic problems, statistics today is often unrecognizable in this context. Numerous recent methodological approaches and advances originated in other subject-matter areas and agronomists frequently find it difficult to see their immediate relation to questions that their disciplines raise. On the other hand, statisticians often fail to recognize the riches of challenging data analytical problems contemporary plant and soil science provides.The first book to integrate modern statistics with crop, plant and soil science, Contemporary Statistical Models for the Plant and Soil Sciences bridges this gap.

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1. Ebooks list page : 3572
2. Applied Linear Statistical Models (McGraw-Hill/Irwin Series Operations and Decision Sciences)
3. Units, Symbols, and Terminology for Plant Physiology: A Reference for Presentation of Research Results in the Plant Sciences
4. Principles of Soil and Plant Water Relations
5. Plant Roots: Growth, Activity and Interactions with the Soil
6. Molecular Mechanisms of Plant and Microbe Coexistence (Soil Biology)
7. Laboratory Guide for Conducting Soil Tests and Plant Analysis
8. Principles of Soil and Plant Water Relations by M.B. Kirkham (Re Upload)
9. Crop-Soil Simulation Models
10. Crop-Soil Simulation Models
11. Handbook of Plant Biotechnology (Life Sciences)
12. Plant Sciences (Macmillan Science Library) by Richard Robinson
13. Operator Algebras and Quantum Statistical Mechanics 2: Equilibrium States. Models in Quantum Statistical Mechanics (Repost)
14. Statistical Methodology in the Pharmaceutical Sciences
15. Encyclopedia of Statistical Sciences (Volume 15)
16. Statistical Methods in the Atmospheric Sciences