Resultados de búsqueda - "statistics"

Phenotypic diversity for morphological and productivity traits in chickpea core collection por Upadhyaya, Hari D., Bramel, P., Ortíz, R., Singh, S.

Materias: “…statistics…”
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Spatial and temporal contrasts in the distribution of crops and pastures across Amazonia: A new agricultural land use data set from census data since 1950: Crops and pastures acros... por Imbach, Pablo, Manrow, M., Barona, Elizabeth, Barretto, Alberto, Hyman, Glenn G.

Materias: “…statistics…”
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Inferential and behavioral implications of measurement error in agricultural data por Abay, Kibrom A., Wossen, Tesfamichael, Abate, Gashaw T., Stevenson, James R., Michelson, Hope C., Barrett, Christopher B.

Materias: “…statistics…”
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Farmland holdings, crop planting structure and input usage: an analysis of China's agricultural census por Diao, Xinshen, Zhang, Yi, Somwaru, Agapi

Materias: “…statistics…”
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Macroeconomic reforms and regional integration southern Africa por Mataya, Charles

Materias: “…statistics…”
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Livestock water interaction: status and issues por Phansalkar, Sanjiv J.

Materias: “…statistics…”
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Secret of Gujarat's agrarian miracle after 2000 por Shah, Tushaar, Gulati, A., Hemant, P., Shreedhar, G., Jain, R.C.

Materias: “…statistics…”
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Nonlinear projection methods for visualizing Barcode data and application on two data sets por Olteanu, M, Nicolas, V, Schaeffer, B, Denys, C, Missoup, A-D, Kennis, Jan, Larédo, C.

Materias: “…mathematics and statistics…”
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Estadísticas meteorológicas 2021 de Montecarlo por Silva, Fidelina

Materias: “…Statistics…”
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Estadísticas meteorológicas 2022 de Montecarlo por Silva, Fidelina

Materias: “…Statistics…”
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Estadísticas meteorológicas 2020 de Montecarlo por Silva, Fidelina

Materias: “…Statistics…”
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New perspectives on livestock data: Proceedings of a Workshop on Production, Marketing and Consumption Statistics, Arusha, Tanzania, 10-11 August 2011 por Livestock Data Innovation in Africa Project

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Women's Empowement Metric for National Statistical Systems (WEMNS): A lean instrument to measure women’s empowerment in nationally representative, multitopic surveys por Meinzen-Dick, Ruth S., Seymour, Greg, Heckert, Jessica, Quisumbing, Agnes R., Malapit, Hazel J., Paz, Florencia, Faas, Simone, Myers, Emily, Doss, Cheryl, Sinharoy, Sheela S., Johnson, Erin R., Yuk Fai Cheong, Yount, Kathryn M., Hassan, M. Zahidul, Hassan, M. Imrul, Sharma, Sudhindra, Pokhrel, Pankaj, Sagastume, Mónica Dardón, Kanyanda, Shelton S. E., Vundru, Wilbert D., Kilic, Talip, Moylan, Heather

“…To address this problem, we designed the Women’s Empowerment Metric for National Statistical Systems (WEMNS) as a short empowerment module for the 50×2030 Initiative, a global partnership that aims to build capacity and close the agricultural data gap in 50 countries by 2030. …”
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Needs and opportunities for measuring rural women’s empowerment in Guatemala: Possible applications of a Women’s Empowerment Metric for National Statistical Systems (WEMNS) por Valiente, Regina, Heckert, Jessica, Paz, Florencia, Cabnal, Edwin

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Navigating around the DRC’s statistical potholes: New estimates on welfare and poverty trends (2005-2012) following a spatially disaggregated approach por Marivoet, Wim, De Herdt, Tom, Ulimwengu, John M.

Materias: “…statistical data…”
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Characterizing highland maize-mixed farming systems of Lao PDR’s Xiengkhouang Province (Kham, Moke, Nonghet): statistical analysis and participatory validation por Zepeda Villarreal, E. Adair, Mponela, Powell, Phoutthasinh Phimmachanh, Tom Louanhsakha, Phonepaseuth Phaphoungern, Tiemann, Tassilo T., Krupnik, Timothy J., Lopez-Ridaura, Santiago

Materias: “…statistical methods…”
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Anatomy of a local-scale drought: Application of assimilated remote sensing products, crop model, and statistical methods to an agricultural drought study por Mishra AK, Ines, Amor V.M., Das, NN, Khedun CP, Singh, Virendra Pal, Sivakumar B, Hansen, James

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Landscape factors related to performance of in-situ sensors for prediction of total phosphorus : a statistical analysis of data from 194 streams in Sweden por Hoang, Cham

Maximum likelihood and an approximate expectation and maximization procedures to estimate dispersion parameters in a data set of combination of censored and uncensored traits por Togashi, K., Rege, J.E.O.

Materias: “…statistical data…”
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Using sparse categorical principal components to estimate asset indices: new methods with an application to rural Southeast Asia por Merola, Giovanni Maria, Baulch, Bob

Materias: “…component analysis (statistics)…”
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