Statistical Procedures for Agricultural Research

Statistical Procedures for Agricultural Research
Author: Kwanchai A. Gomez
Publisher: John Wiley & Sons
Total Pages: 698
Release: 1984-02-17
Genre: Technology & Engineering
ISBN: 9780471870920

Here in one easy-to-understand volume are the statistical procedures and techniques the agricultural researcher needs to know in order to design, implement, analyze, and interpret the results of most experiments with crops. Designed specifically for the non-statistician, this valuable guide focuses on the practical problems of the field researcher. Throughout, it emphasizes the use of statistics as a tool of research—one that will help pinpoint research problems and select remedial measures. Whenever possible, mathematical formulations and statistical jargon are avoided. Originally published by the International Rice Research Institute, this widely respected guide has been totally updated and much expanded in this Second Edition. It now features new chapters on the analysis of multi-observation data and experiments conducted over time and space. Also included is a chapter on experiments in farmers' fields, a subject of major concern in developing countries where agricultural research is commonly conducted outside experiment stations. Statistical Procedures for Agricultural Research, Second Edition will prove equally useful to students and professional researchers in all agricultural and biological disciplines. A wealth of examples of actual experiments help readers to choose the statistical method best suited for their needs, and enable even the most complicated procedures to be easily understood and directly applied. An International Rice Research Institute Book

Agricultural Statistical Data Analysis Using Stata

Agricultural Statistical Data Analysis Using Stata
Author: George Boyhan
Publisher: CRC Press
Total Pages: 253
Release: 2013-06-04
Genre: Mathematics
ISBN: 1466585862

Practical statistics is a powerful tool used frequently by agricultural researchers and graduate students involved in investigating experimental design and analysis. One of the most widely used statistical analysis software packages for this purpose is Stata. The Stata software program has matured into a user-friendly environment with a wide variet

Agricultural Statistics 2020

Agricultural Statistics 2020
Author: U S Dept Of Agriculture
Publisher: Bernan Press
Total Pages: 490
Release: 2021-12-31
Genre: Business & Economics
ISBN: 9781636710136

Agricultural Statistics is published each year to meet the diverse need for a reliable reference book on agricultural production, supplies, consumption, facilities, costs, and returns. Its tables of annual data cover a wide variety of facts in forms suited to most common use. The estimates for crops, livestock, and poultry made by the U.S. Department of Agriculture are prepared mainly to give timely current state and national totals and averages. They are based on data obtained by sample surveys of farmers and of people who do business with farmers. The survey data are supplemented by information from the Census of Agriculture taken every five years. Being estimates, they are subject to revision as more data become available from commercial or government sources. Unless otherwise indicated, the totals for the United States shown in the various tables on area, production, numbers, price, value, supplies, and disposition are based on official Department estimates. They exclude states for which no official estimates are compiled. Extensive data includes statistics for the following: -Grain and Feed -Cotton, Tobacco, Sugar Crops, and Honey -Oilseeds, Fats, and Oils -Vegetables and Melons -Hay, Seeds, and Minor Field Crops -Cattle, Hogs, and Sheep -Dairy and Poultry -Insurance, Credit & Cooperatives -Agricultural Conservation & Forestry -Consumption & Family Living -Fertilizers & Pesticides Miscellaneous Agricultural Statistics such as Foreign Agricultural Trade Statistics including exports, fisheries and more. Professionals in the following fields to include farmers, ranchers, soil conservationists, surveyors, agricultural economist consultants, livestock manufacturers, livestock feedlot operators, food distributors, animal scientists, food chemists, food brokers, farm and land appraisers (and more) may have the greatest interest in this volume.

Machine Learning for Hackers

Machine Learning for Hackers
Author: Drew Conway
Publisher: "O'Reilly Media, Inc."
Total Pages: 323
Release: 2012-02-13
Genre: Computers
ISBN: 1449330533

If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation. Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you’ll learn how to analyze sample datasets and write simple machine learning algorithms. Machine Learning for Hackers is ideal for programmers from any background, including business, government, and academic research. Develop a naïve Bayesian classifier to determine if an email is spam, based only on its text Use linear regression to predict the number of page views for the top 1,000 websites Learn optimization techniques by attempting to break a simple letter cipher Compare and contrast U.S. Senators statistically, based on their voting records Build a “whom to follow” recommendation system from Twitter data

Spatial Data Analysis in Ecology and Agriculture Using R

Spatial Data Analysis in Ecology and Agriculture Using R
Author: Richard E. Plant
Publisher: CRC Press
Total Pages: 666
Release: 2020-12-18
Genre:
ISBN: 9780367732325

Key features: Unique in its combination of serving as an introduction to spatial statistics and to modeling agricultural and ecological data using R Provides exercises in each chapter to facilitate the book's use as a course textbook or for self-study Adds new material on generalized additive models, point pattern analysis, and new methods of Bayesian analysis of spatial data. Includes a completely revised chapter on the analysis of spatiotemporal data featuring recently introduced software and methods Updates its coverage of R software including newly introduced packages Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology, agriculture, and environmental science. Readers have praised the book's practical coverage of spatial statistics, real-world examples, and user-friendly approach in presenting and explaining R code, aspects maintained in this update. Using data sets from cultivated and uncultivated ecosystems, the book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Additional material to accompany the book, on both analyzing satellite data and on multivariate analysis, can be accessed at https: //www.plantsciences.ucdavis.edu/plant/additionaltopics.htm.

WORLD FOOD AND AGRICULTURE 2017 STATISTICAL POCKETBOOK 2018

WORLD FOOD AND AGRICULTURE 2017 STATISTICAL POCKETBOOK 2018
Author: Food and Agriculture Organization of the United Nations
Publisher: Food & Agriculture Org.
Total Pages: 254
Release: 2019-03-12
Genre: Social Science
ISBN: 9251310122

This pocketbook presents, at a glance, selected key indicators on agriculture and food security, and is meant to serve as an easy-to- access and quick reference for all stakeholders and partners involved in policy formulation or decision making processes. The indicators are presented in two sections, one thematic and one country-specific; they are organized along four main themes: 1) The setting, which measures the state of the agricultural resource base by assessing the supply of land, labour, capital and inputs; 2) Hunger dimensions, to gauge the state of food insecurity and malnutrition, and highlight the four dimensions - availability, access, stability and utilization - that determine the scale of hunger and the shape of undernourishment; 3) Food supply, which evaluates the past and present productive capacity of world agriculture, together with the role of trade, in meeting the world's demand for food, feed and other products; 4) Environment, which examines the sustainability of agriculture in the context of the pressure it exerts on its ecological surroundings. The pocketbook is part of FAO's efforts to support national, regional and international partners in improving the availability of high quality and timely data, in view of sustainable agricultural development and zero hunger.