Estimation of areas in agricultural statistics. by SМЊlobodan S. ZМЊarkovicМЃ

Cover of: Estimation of areas in agricultural statistics. | SМЊlobodan S. ZМЊarkovicМЃ

Published by Food and Agriculture Organization of the United Nations in Rome .

Written in English

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Subjects:

  • Agriculture -- Statistics,
  • Agricultural estimating and reporting

Edition Notes

Book details

GenreStatistics.
The Physical Object
Paginationix, 203 p.
Number of Pages203
ID Numbers
Open LibraryOL17793868M
OCLC/WorldCa5229261

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Get this from a library. Estimation of crop areas and yields in agricultural statistics. [Food and Agriculture Organization of the United Nations. Statistics Division.;].

Organized into 14 chapters, this book begins with an overview of the importance of regular collection of agricultural statistics to the functioning of Estimation of areas in agricultural statistics.

book community as well as for its agriculture and agricultural development. This text then examines the improvement of methods of collection of existing statistics for greater dependability. Agricultural Statistics: A Handbook for Developing Countries presents the development of agricultural statistics in various countries of Africa and Asia.

This book provides a guideline to those in charge of agricultural statistics in developing countries to know their priorities and to have clear Edition: 1. Estimation of Crop Areas and Yields in Agricultural Statistics: Fao Economic and Social Development Paper, No 22 (Fao Economic & Social Development Paper) Paperback – March 1, by Food and Agriculture Organization of the United : Food and Agriculture Organization of the United Nations.

Statistics Division. Alternative Crops and Cropping Systems. Crop diversity is a key tenet of sustainable agriculture. Having multiple crops that fill distinct niches in an agro eco system improves the ability to manage weeds, diseases and insect pests as well as potentially improving the environmental performance of the cropping system.

This well-organized book provides thorough, comprehensive coverage of agricultural statistics. An excellent introduction to the subject, the book's easy-to-follow presentation of theory is followed by a wide range of examples and exercises that help readers apply statistical theory to real-life agricultural problems.2/5(1).

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. A.K. Das, PhD in agricultural statistics, is Estimation of areas in agricultural statistics. book at the Department of Agricultural Statistics, Bidhan Chandra Krishi Viswavidyalaya (a state agriculture university).

With over 30 years of teaching experience, Prof. Das has a number of good research articles to his credit published in several international journal of repute and has guided. Due to the widespread use of surveys in agricultural resources estimation there is a broad and recognizable interest in methods and techniques to collect and process agricultural data.

This book brings together the knowledge of academics and experts to increase the dissemination of the latest developments in agricultural statistics.

Conducting a census, setting up frames and. The Handbook on Agricultural Cost of Production Statistics, referred henceforth as the Handbook, aims to provide national statistical organizations (NSOs) and Agriculture Departments with a “how to” guide for the collection, compilation, and dissemination of CoP data.

It is especially aimed at developing countries, which requested thisFile Size: 1MB. They are considered " the backbone to the agricultural statistics program of the National Agricultural Statistics Service (NASS) "[1].

NASS' primary area frame-based survey is. This book focuses on the meaning of statistical inference and estimation. Statistical inference is concerned with the problems of estimation of population parameters and testing hypotheses. Primarily aimed at undergraduate and postgraduate students of statistics, the book is also useful to professionals and researchers in statistical, medical.

AGRICULTURE - Statistical Year Book India Pattern of Land Utilisation. Area under Principal Crops. Production of Principal Crops. Average Yield of Principal Crops. All India Index Numbers of Yield of Principal Crops. Cost Estimate of some principal crops in five Major Producing States. Download Reports.

Current Surveys. Ministry of Ayush. This book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences. It discusses important methodologies like ranked set sampling, adaptive cluster sampling, small area estimation, calibration approach-based estimators, design of experiments, multivariate.

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He has published over 25 research papers in various respected journals and one book. Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition, provides a synthesis of model-based approaches for analyzing presence-absence data, allowing for imperfect detection.

Beginning from the relatively simple case of estimating the proportion of area or sampling units occupied at the time of. Publications Agricultural Statistics, Annual. 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.

National Agricultural Statistics Service (NASS), U.S. Department of Agriculture (USDA) and various USDA agencies collaborated in furnishing the information in.

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Kernel Density Estimation 11 Estimation and estimators Maximum Likelihood Estimation (MLE) Bayesian estimation 12 Classical tests Goodness of fit tests Anderson-Darling Chi-square test Kolmogorov-Smirnov Ryan-Joiner Shapiro-Wilk Jarque-Bera File Size: 1MB.

This chapter provides a brief account of small‐area estimation in the context of agricultural surveys. Preventive measures at the design stage may significantly reduce the need for indirect estimates, but for some small areas sample sizes may not be large enough to provide adequate precision using direct estimates even after implementing such by: 5.

The cost of accuracy in crop area estimation Article in Agricultural Systems 84(1) February with 83 Reads How we measure 'reads'. Objective Sampling Estimation of Crop Area Based on Remote Sensing Images: /ch Having the ability to estimate crop areas is a necessity ever more pressing for all the stakeholders of productive chains.

For many scientists involved inCited by: 2. 4 Results of the Methodological Studies for Agricultural and Rural Statistics 2. Agricultural Statistical System Bhutan has a decentralized statistical system.

Line ministries and agencies collect, compile, analyze and disseminate their data while the NSB is mandated to lead the country’s statistical development and statistics dissemination. This chapter describes a method for assessing flood damage to the agricultural sector, specifically focusing on flood damage to rice crops.

The chapter also includes the case studies of flood damage assessment conducted in the Asian river basins, the Pampanga River basin of the Philippines, and the Lower Indus River basin of Pakistan.

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It gives me immense pleasure to see that the Directorate of Economics & Statistics has continuously endeavored to increase the relevance of this publication by adding information on emerging areas of concern and relevance for the agriculture Size: 4MB.

A quarter of pig meat is produced in Germany With a production of million tonnes, corresponding to 25% of the EU total, Germany was in the main producer of pig meat in the European Union, followed by Spain ( mn t or 16%), while France was the main producer of bovine animals meat ( mn t or 19% or EU total production).

Statistics and data Statistics is also a mathematical science that focuses on the collection, analysis, interpretation or explanation, and presentation of data. 1We often think of statistics as being produced by National Statistical Organizations (NSOs) but in fact they can be generated by any number of people.

trends of agricultural statistics, particularly in developing countries. The purpose of the global strategy is to provide a framework and methodology that will lead to the improvement of national and international food and agricultural statistics to guide policy analysis and decision making in the 21 st century.

36/ - 18 February Statistical book on agriculture, forestry and fishery A statistical portrait of agriculture in the EU In the European Union (EU), the Member State contributing the most to the value of agricultural production was France (accounting for 18% of the EU total), followed at a distance by Germany (14%), Italy (13%), Spain (10%).

The Yearbook of Agricultural Statistics covers a wide spectrum of statistics and indicators belonging to several thematic topics to serve as a reference guide to policy-makers, economists, analysts, academics, educationists, researchers and other Size: 8MB.

Estimation of surface runoff volumes from agricultural watersheds by infiltration theory Donald Lloyd Brakensiek Donald Lloyd, "Estimation of surface runoff volumes from agricultural watersheds by infiltration theory " (). Retrospective Theses and Dissertations. tn 18S0 a reference book in hydrology which included a.

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A correct soil moisture estimation is a fundamental prerequisite for many applications: agriculture, meteorological forecast, flood and drought prediction, and, in general, water accounting and management.

Traditional methods typically provide point-like measurements, but suffer from soil heterogeneity, which can produce significant misinterpretation of the hydrological : Luca Stevanato, Gabriele Baroni, Yafit Cohen, Fontana Cristiano Lino, Simone Gatto, Marcello Lunardo.

Use of remote sensing to estimate biological crop yield is being explored in many countries and likely will become the basis of agricultural statistics in the future (Zhao et al., ). Crop yield estimation using remote sensing is based on the principle of spectral reflectance of green plants, which can be captured in satellite images as.

of the field. Consequently, areas can be selected at random with probabilities proportional to their size by the simple procedure of taking random points on the map.”(P)3 “The principle has applications in agricultural surveys designed to determine the acreage and yield of different crops, total cultivated area, Size: 1MB.

SOURCE: National Agricultural Statistics Service, (updated by the agency). Response Rates As might be expected, the response rates reported by NASS vary among ARMS phases and years, since the size of the samples and the target audience varies from year to year.

Corrigendum on Collection of Statistics Rules Working of the Collection of Statistics Act Annual Report for The Collection of Statistics (Amendment) Act,Statistical methods for environmental & agricultural sciences.

Basic Construction Techniques Pitfalls and Some Considerations in Use of Index Numbers APPENDICES Binomial Distribution Areas Under the Standard Normal Probability Distribution Between the Mean and Successive Values of z Normal Deviates for Statistical Estimation and Hypothesis.The Food and Agriculture Organization of the United Nations (FAO) is an agency of the United Nations that leads international efforts to defeat hunger.

Serving both developed and developing countries, FAO acts as a neutral forum where all nations meet as equals to negotiate agreements and debate policy. FAO is also a source of knowledge and.

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