Statistical Methods for Agricultural Field Experiments

Statistical Methods for Agricultural Field Experiments
Author: Vijay Katyal
Publisher: New India Publishing Agency
Total Pages: 162
Release: 2011-01-01
Genre: Education
ISBN: 9789380235424

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The book consists of 12 chapter. The I is related to terminology in experimental design while the II devoted to completely randomized block design and randomized block design for agricultural experiments in the field. The III is devoted to factorial experiments in randomized block design involving two or more factoThe IV deals with partially confounded and fully confounded factorial experiments. The cheaper V deals with split plot design and strip plot design. The VI deals with repetition of experiments over years with sampling in agricultural trials at cultivator's fields, while VII is related to sustainability of crop sequences and treatments. The VIII deals with analysis of trials at cultivators' fields while the IX deals with sampling techniques. X deals with co-relation and regression studies. The XI spells out the agronomic considerations and synthesis of system based results. The last XII deals with methodology and procedure for farming systems research while the schedule for date collection for farming systems characterization and evaluation is given in appendix.


Statistical Methods for Agricultural Field Experiments
Language: en
Pages: 162
Authors: Vijay Katyal
Categories: Education
Type: BOOK - Published: 2011-01-01 - Publisher: New India Publishing Agency

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The book consists of 12 chapter. The I is related to terminology in experimental design while the II devoted to completely randomized block design and randomize
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Here in one easy-to-understand volume are the statistical procedures and techniques the agricultural researcher needs to know in order to design, implement, ana
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The book consists of 12 chapters. The I is related to terminology in experimental design while the II devoted to completely randomized block design and randomiz
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Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference