Kaustav AdityaICAR-Indian Agricultural Statistics Research Institute · Sample Surveys
Kaustav Aditya
B.Sc., M.Sc., Ph.D.
Calibration Estimation, Small Area Estimation, Energy Audit Surveys, Climate Change, Forecasting and Modelling
About
72
Publications
27,236
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323
Citations
Introduction
Sample Survey, Machine Learning, Statistical Modelling, Applied Statistics, Data Analytics
Additional affiliations
September 2011 - present
ICAR-Indian Agricultural Statistics Research Institute
Position
- Senior Scientist (senior scale)
Description
- Specialize is development of statistical methodologies related to real life surveys and sampling techniques, modeling and forecasting. Area of focus of work is Applied Statistics, Data Analysis, modeling, forecasting, multivariate statistics, machine learning, small area estimation, calibration estimation, domain estimation, Integration of surveys, multiple frame surveys etc. Also involved in organizing national/international trainings and courses as a faculty member of PG-School of ICAR-IARI.
Education
August 2008 - July 2011
Publications
Publications (72)
The introduction of digital platforms has transformed agricultural practices by farmers’ access to essential information and advisory services. The present study undertaken to explore the level of awareness among farmers concerning various platforms for Extension and Advisory Services (EAS) in the Indo-Gangetic region of, a key agricultural zone. U...
प्रायोगिक अभिकल्पनाओं का मूल सिद्धांत यह है कि उपचारों को प्रायोगिक इकाइयों पर पूरी तरह से यादृच्छिक रूप से वितरित किया जाना चाहिए। हालांकि, व्यावहारिक रूप में इकाइयों में अक्सर कोई संरचना होती है, जिससे ब्लॉकिंग की आवश्यकता प्रकट होती है। अनेक औद्योगिक प्रयोगों में कुछ कारक होते हैं जिनके स्तर अन्य से कठिनता से सेट किए जाते हैं। अगर इसके अतिरिक्त,...
In many agricultural, forestry, environmental, and ecological surveys, data are often spatial in nature and exhibit spatial nonstationarity. A well-known method for addressing spatial nonstationarity and capturing the spatially varying relationships between different variables is Geographic Weighted Regression (GWR). The calibration approach is one...
The livelihood of Indian farmers is primarily shaped by agriculture and its allied components. The degree of intricacy and contributions of each agricultural activity, although, vary with different social-ecological systems. Migration is considered an approach to livelihood adaptation; however, the migrants face challenges in new social-ecological...
Access to information and effective delivery can be improved by using multimedia as a tool for advisory services. Various factors contribute to the development of an effective multimedia-based agro-advisory model. Stakeholders’ perception plays a major role to design and validate it properly. To measure stakeholders’ perception towards multimedia-b...
Calibration approach is a popular technique in sample surveys which incorporates auxiliary information in the estimation process assuming that population aggregates of auxiliary variable are available. Many often under two-stage sampling design, such population aggregates of auxiliary variable, i.e., population mean or total are unavailable and und...
Migration in agriculture is influenced by an intricate interplay of socio-economic as well as ecological factors and has emerged as a predominant marvel. India has a diverse array of agro-ecological regions, each presenting numerous opportunities for farmers to significantly improve their livelihoods. The Indo-Gangetic Plains (IGP) and the Western...
Motivation: Tea, derived from the Camellia sinensis plant, holds the position of being the most widely consumed manufactured beverage globally. Its cultivation necessitates specific agro-climatic conditions, leading to its production being confined to select regions, notably including India. India contributes about 20.81% to the world’s tea output....
In this study, a two auxiliary calibration estimator is proposed under two stage sampling design using a nonlinear constraint with the assumption of availability of population level auxiliaries at the cluster level and the size of the clusters were assumed unknown. The performance of the proposed estimator was evaluated through a simulation study....
Apple crop is the predominant temperate fruit in the high hills of Himachal Pradesh (HP), India, primarily due to the ideal temperate climate of the region characterized by high altitude and significant snowfall. This study aims to examine the marketing aspects of apple crops in the high hills of HP, taking into account the complex nature of its ma...
The migration patterns of farmers, rural women, and youth within agricultural households have a significant impact on rural communities and the agricultural sector. To gain a deeper understanding of research trends in migration behavior, a study was conducted using comprehensive bibliometric analysis and text mining. René Descartes’ Discourse frame...
In survey sampling, auxiliary information is often used to increase the efficiency of estimators of finite population parameters. The Calibration Approach is one of the popular techniques for such purposes. In this current study, product type calibration estimator of the finite population total has been proposed following well-known Calibration App...
The calibration approach is a popular technique for incorporating auxiliary information for estimation of population parameters in survey sampling. In general, the Calibration Approach assumes the availability of population-level auxiliary information. On the contrary, in large scale surveys, it is often the case that population-level data on auxil...
Drying is an important process in the tea processing industry. Drying arrests enzymatic reactions to produce a stable product with increased shelf life. Development of the quality attributes such as taste, fragrance, color, etc. in tea is initiated during processing steps prior to drying, which undergoes the final stage of development during drying...
Calibration is a popular approach in sample surveys to produce efficient estimators of population parameter using population aggregates of auxiliary variable. However, many a times, such population aggregates of auxiliary variable is not available. Moreover, it may happen that there exists additional auxiliary variable which is less closely related...
The management of energy consumption in agriculture is a worldwide concern because of the adverse effects of CO2 emissions from fossil fuels, which are generally used as an energy source for various applications in agriculture. Renewable energy technologies are promoted in many parts of the world for various agriculture applications for mitigating...
The present paper deals with use of discriminant function analysis for developing wheat yield forecast model for Kanpur (India). Discriminant function analysis is a technique of obtaining linear/Quadratic function which discriminates the best among populations and as such, provides qualitative assessment of the probable yield. In this study, quanti...
The systematic research on the effect of medium-term conservation agriculture (CA) on soil quality, especially under the rice (Oryza sativa L.)-based cropping systems is limited. Hence, the specific objective of the study was to develop soil quality indices with key soil physical, chemical and biological indicators under the conservation and conven...
India is an agriculture-based country which has experienced enormous change in food and nutrition utilization since financial changes in the mid-1990s. Agribusiness is considered as the backbone of Indian economy. Therefore, the Indo-Gangetic Plain (IGP) holds agricultural importance, contributing to a major share of our national income. High finan...
Crop area statistics in most of the states in India are provided based on complete enumeration or census approach. But, shortage of man power, failure of the primary and revenue staffs to devote adequate time and attention in collection and compilation of data has deteriorated the quality of area statistics as well as increased the time lag in avai...
To draw inference from the collected data under the pilot study was taken up to examine the reliability of estimates of crop area and crop production at state and national level on the basis of sample sizes recommended by the Prof. Vaidyanathan committee report, a paper based survey was conducted in five states, namely, Assam, Uttar Pradesh, Karnat...
It was observed that around 1300000 Crop Cutting Experiments (CCE) were conducted in india every year to find out the crop yield estimates of several major and minor crops under General Crop Estimation Surveys (GCES). Due to shortage of manpower and huge bulk of work day by day the data quality is becoming questionable. To tackle this problem, a pi...
The Calibration Approach proposed by Deville and Särndal (1992) is a popular technique to efficiently use auxiliary information in survey sampling.
In this study, calibration estimators of the finite population total have been developed under two stage sampling design along with variance of the
estimator and the corresponding estimator of variance....
Discriminant function analysis technique using Bayesian approach has been attempted for wheat forecasting in Kanpur district of Uttar Pradesh, India both qualitatively and quantitatively. Crop yield data and weekly weather data on temperature (maximum and minimum), relative humidity (maximum and minimum), rainfall for 16 weeks of the crop cultivati...
Auxiliary information is often used to improve the precision of estimators of finite population total. Calibration approach (Deville and Sarndal, 1992) is widely used for making efficient use of auxiliary information in survey estimation. Aditya et al. (2016) proposed regression type estimators of the population total using the calibration approach...
Poverty affects many people, but the ramifications and impacts affect all aspects of society. Information about the incidence of poverty is therefore an important parameter of the population for policy analysis and decision making. In order to provide specific, targeted solutions when addressing poverty disadvantage small area statistics are needed...
Auxiliary information is often used to improve the precision of estimators of finite population total. Calibration approach is widely used for making efficient use of auxiliary information in survey estimation. We proposed the regression type estimators of the population total using the calibration approach under the assumption that the population...
In this paper, we describe small area estimation (SAE) under a spatial dependent random effects model by combining data from two independent surveys. The spatial dependence is introduced using simultaneous autoregressive (SAR) structure in the random area effects part of the model. We use data from two independent surveys. The first survey, small i...
The apparent use of total food grains produced in any country is for the purpose of human consumption, animal feed and seed requirements. Despite all possible preventive efforts, large quantities are also wasted from the time the grain is harvested till it reaches the consumer. The purpose of this paper is to discuss the outcome of a pilot study fo...
Area level models are often used for small area estimation when auxiliary data are available only as area aggregates. A popular area level model used for small area estimation is the Fay-Herriot model. In many small area applications, Fay-Herriot model is often fitted on logarithm (log) scale and model parameters are estimated under this model. Thi...
In every country various surveys and Censuses are carried out at fairly regular interval to generate estimates of important agricultural and social parameters. Due to several new policies and schemes demand of data is increasing. This leads to problem in assuring quality and timeliness in data using conventional data collection method such as Paper...
Estimation of major crop yield rates at the district level using calibration estimation technique is reported here when auxiliary information is available at the unit level only for the selected villages within each district and when the sampling design under consideration is two-stage equal probability without replacement. An estimator was develop...
In every country various surveys and Censuses are carried out at fairly regular interval to generate estimates of important agricultural and social parameters. Due to several new policies and schemes demand of data is increasing but the man power remains the same. The use of conventional method of data collection, i.e. Paper Assisted Personal Inter...
Data entry software has designed to reduce the paper work and to provide the authenticity of data which collected from the fields. Software is developed using .Net Technology. ASP.net windows forms in visual c# has been used for designing of the user interface and coding of business logics in the system. The database of this system contains informa...
On the basis of a gaps analysis, a methodology has been developed to estimate crop area and crop yield in mixed and continuous cropping scenarios. In this regard, several alternatives have been considered, depending upon the information available in the agricultural statistical system. The different methods for the area apportionment of a crop mixt...
Auxiliary information is often used to improve the precision of estimators of finite population total. Calibration approach is widely used for making efficient use of auxiliary information in survey estimation. We proposed the regression type estimators of the population total using the calibration approach under the assumption that the population...
This technical report provides findings of field tests conducted in selected districts/study area in three countries i.e. Indonesia, Rwanda and Jamaica on the basis of methodology developed by the team at ICAR-IASRI on estimation of crop area, yield and production under mixed and continuous cropping. Different methods of determination of crop area...
Regression coefficient iswidely used for studying the relationship between variables. In the case of two-stage sampling design, estimation of regression coefficient using traditional ordinary least squares technique is not appropriate as it violates the assumption of independence of observations. The calibration approach is used here for developing...
Regression type estimators of the population total were developed using the calibration approach under the assumption that the population level auxiliary information is available at primary stage unit level under two stage sampling design. The variance and the estimator of the variance of the proposed estimators were also developed. Theoretical res...
This technical report focuses on methodologies used for estimation of a crop area and crop yield under mixed and continuous cropping. It provides a review of the literature on methodologies used for estimation of crop area and crop yield in developed and developing countries. The report begins with descriptions of relevant concepts and definitions...
This technical report provides the gap analysis in the context of mixed and continuous cropping with regard to crop area and yield estimation. Based on gap analysis, an appropriate methodology is developed for carrying out estimation of crop area and crop yield in the mixed and continuous cropping scenario. Various concepts and definitions of surve...
This article describes the estimation of domain total in the presence of nonresponse
when the domain size unknown and the sampling design is two-stage. Further, the
response mechanism is assumed to be deterministic. An estimator based on sub-sampling
of non-respondents, collecting data on the sub-sample through specialized efforts, is
proposed. Exp...
The problem of estimation of finite population mean in the presence of the random response has been considered when the sampling design is two-stage with two phases at the second stage. Three different types of estimators, based on subsampling of nonrespondents, collecting data on the subsample through specialized efforts, are developed. Expression...
The field investigation was carried out to improve the inoculated Rhizobium efficiency by applying different micronutrients on nodulation, growth and uptake of N & P and yield of chickpea during Rabi seasons of 2006-07 at the Crop Research Centre, G. B. Pant University of Agriculture and Technology, Pantnagar. Fourteen treatments consisting combina...
The estimation of population mean in the presence of non-response has been considered when the sampling design is two-stage. Considering, three different cases of nonresponse, the corresponding estimators based on sub-sampling of non-respondents, collecting data on the sub-sample through specialized efforts, are developed. Expressions for the varia...
The present paper deals with use of discriminant function analysis for developing wheat yield forecast model for Kanpur (India). Discriminant function analysis is a technique of obtaining linear/Quadratic function which discriminates the best among populations and as such, provides qualitative assessment of the probable yield. In this study, quanti...
Discriminant analysis is a multivariate technique concerned with classifying distinct sets of objects (or sets of observations) and allocating new objects or observations to the previously defined groups. In this talk, to start with, the univariate approach of discriminating observations is discussed. Thereafter, examining differences in observatio...
Surveys often get repeated on many occasions (over years or seasons) for estimating same characteristics at different points of time. Successive sampling is such kind of sampling scheme which consists of selecting sample units on different occasions such that some units are common with samples selected on previous occasions. Generally, the main obj...
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