Objective Agriculture Statistics: 2nd Fully Revised and Enlarged Edition

authored by: K.S. Kushwaha
ISBN: 9789391383510 | Binding: Paperback | Pages: 416 | Language: English | Year of Publishing: 2022
Length: 152 mm | Breadth: 31 mm | Height: 229 mm | Imprint: NIPA | Weight: 880 GMS
INR 350.00 INR 315.00
 
Free Worldwide Delivery Within 10-15 Days By Indian Post (Traceable Methods)

Keywords

Agricultural data analysis, Farming statistics, Precision agriculture metrics, Crop yield analytics, Agribusiness data trends, Agricultural production figures, Sustainable farming statistics, Precision farming data, Rural economy metrics, Agricultural technology trends, Farm management analytics, Crop monitoring statistics, Agricultural innovation data, Agro-statistics, Harvest forecasting metrics, Agri-analytics insights, Sustainable agriculture metrics, Field-level data analysis, Livestock production statistics, Climate-smart farming trends, Agro-industry statistics, Soil health analytics, Agricultural policy data, Digital agriculture metrics

This book, "Objective Agriculture Statistics - 2nd Revised Edition," is an expanded version of the previously published book that was released in the year 2011. It now includes additional content on "Sample Survey," which is presented as the "Supplementary Part."

In this new edition, readers will find 94 pages covering a range of topics, including (1) Sampling on Successive Occasions, (2) Non-Sampling Errors, (3) National Sample Surveys, (4) Agricultural Statistics System in India, and (5) 10 Model Papers. These additions will provide better coverage for students and will aid them in preparing for various competitive examinations, as mentioned in the first edition.

1. Sample Survey Theory 2. Sample Random Sampling (S.R.S.W.O.R. & S.R.S.W.R.) 3. Stratified Random Sampling 4.Cluster Sampling 5. Systematic Sampling 6. Ratio Product and Regression Methods of Estimation 7. Multistage Sampling, 8. Varying Probability Sampling, 9. Preliminaries and Basic Principles of Designs of Experiments, 10.  ANOVA (One Way) Classification, 11 C.R.D., R.C.B.D., Latin Square Design, 12 Factorial Experiments, 13. Split Plot Design,14. Strip Plot Design, 15. Progeny Row Trial and Compact Family Block Design, 16. Analysis of Covariance (ANCOVA), 17. Some Miscellaneous Questions on ANOVA Technique, 18.Transformation of Data to Apply ANOVA Technique, 19. Non Parametric Methods, 20. Additional Topics on Sample Surveys, Bibliography, Model Papers

 
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