scholarly journals Mesoscale variability in time series data: Satellite-based estimates for the U.S. JGOFS Bermuda Atlantic Time-Series Study (BATS) site

2002 ◽  
Vol 107 (C8) ◽  
Author(s):  
David M. Glover
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Series Data ◽  
Mesoscale Variability ◽  
Time Series Study ◽  
Series Study ◽  
The U.S

Impact of irrigation on pulses production in India: A time-series study

2019 ◽  
Author(s):  
Gourav Kumar Vani ◽  
Pradeep Mishra
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Production System ◽  
Time Series Data ◽  
Decomposition Analysis ◽  
Series Data ◽  
Time Series Study ◽  
Increasing Demand ◽  
Series Study

Pulses are source of protein for Indians, production of which has not kept with increasing demand of the nation. Among efforts to enhance pulses production, role of irrigation as a critical input has not been given due importance. In present investigation attempt is to find out importance and contribution of irrigation in growth of pulses production in India. The time series data on area, production, productivity and area irrigated of pulses was obtained from DES Official website. The regression analysis and linear decomposition analysis were used as tools to carry out analysis. It was found that yield and area not-irrigated effect accounts for 52 per cent of growth of pulses which is not suitable for sustainability of pulses production system. Area not-irrigated effect contribution was 13.69 percent on pulses production. This also shows that irrigation has not been able to influence the production of pulses to desired level. The area irrigated accounted for 69 percent of variation in pulses yield. The result of present investigation is helpful to researcher as well as policymaker in attaining sustainable increases in pulses production in India.

Seasonal patterns of ocean biogeochemistry at the U.S. JGOFS Bermuda Atlantic time-series study site

1994 ◽  
Vol 41 (7) ◽  
pp. 1013-1038 ◽  
Author(s):  
Anthony F. Michaels ◽  
Anthony H. Knap ◽  
Rachael L. Dow ◽  
Kjell Gundersen ◽  
Rodney J. Johnson ◽  
...  
Keyword(s):  
Time Series ◽  
Seasonal Patterns ◽  
Time Series Study ◽  
Ocean Biogeochemistry ◽  
Series Study ◽  
The U.S

Forecasting the Impact of Socioeconomic and Demographic Change on Product Demand

1985 ◽  
Vol 22 (4) ◽  
pp. 415-423 ◽  
Author(s):  
John M. Mccann ◽  
David J. Reibstein
Keyword(s):  
Time Series ◽  
Cross Sections ◽  
Time Series Data ◽  
Series Data ◽  
Cross Sectional ◽  
Product Demand ◽  
New Methods ◽  
Differential Scheme ◽  
The Impact ◽  
The U.S

The U.S. population is expected to undergo significant shifts in its demographic and socioeconomic makeup. The authors present a series of methods for estimating the impact of these shifts on product demand. In addition, two new methods for pooling time-series and cross-sectional data are presented. One method combines disaggregate cross sectional data with aggregate time-series data and the second method involves a differential scheme for pooling cross sections for each variable in the model.

The Entrepreneurial Decision: Economic Theory and Empirical Evidence

1995 ◽  
Vol 19 (4) ◽  
pp. 67-79 ◽  
Author(s):  
Joseph G. Eisenhauer
Keyword(s):  
Decision Making ◽  
Economic Theory ◽  
Time Series ◽  
Empirical Evidence ◽  
Time Series Data ◽  
Economic Thought ◽  
Series Data ◽  
Entrepreneurial Decision ◽  
The U.S

This paper Integrates three major traditions of economic thought into a model of entrepreneurial decision making. Several testable hypotheses are formulated, and the model Is estimated using a 33-year sample of aggregate time-series data for the U.S.

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