A Multivariate Mixing Model for Identifying Sediment Source from Magnetic Measurements

1989 ◽  
Vol 32 (2) ◽  
pp. 168-181 ◽  
Author(s):  
Lizhong Yu ◽  
Frank Oldfield
Keyword(s):  
Linear Programming ◽  
Multiple Regression ◽  
Magnetic Measurements ◽  
Sediment Cores ◽  
Mixing Models ◽  
Sediment Source ◽  
Sequential Method ◽  
Source Component ◽  
Quantitative Identification ◽  
Quantitative Calculations

AbstractA sequential method for quantitative identification of sediment source components, based on magnetic measurements, has been developed and tested for sediments from the Rhode River, Maryland. Simulated mixing tests and multiple regression were employed to establish numerical relationships between source component proportions and the magnetic measurements of mixtures. On the basis of these multivariate mixing models, source components of three estuarine sediment cores were estimated by linear programming. The results strongly support the previous studies on this catchment which indicated a dramatic change in sediment source some 150 to 200 yr ago. Quantitative calculations are more useful and informative than purely qualitative descriptions.

Strategic Choice and Data Envelopment Analysis: Comparing Computers across Many Attributes

1994 ◽  
Vol 9 (1) ◽  
pp. 61-69 ◽  
Author(s):  
John Doyle ◽  
Rodney Green
Keyword(s):  
Linear Programming ◽  
Regression Analysis ◽  
Data Envelopment Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Strategic Choice ◽  
Programming Approach ◽  
Data Envelopment ◽  
Linear Programming Approach

A linear programming approach (Data Envelopment Analysis) is described to determine the relative merits of a set of multi-input, multi-output systems, in which more output for less input is considered good. The method is applied to benchmarks of microcomputers, and is contrasted with a multiple regression analysis of the same data. It is also argued that the essence of two opposing strategic outlooks can be captured within the method.

Holocene environmental reconstruction of sediment-source linkages at Crummock Water, English Lake District, based on magnetic measurements

The Holocene ◽  
2008 ◽  
Vol 18 (1) ◽  
pp. 129-140 ◽  
Author(s):  
Zhixiong Shen ◽  
Jan Bloemendal ◽  
Barbara Mauz ◽  
Richard C. Chiverrell ◽  
John A. Dearing ◽  
...  
Keyword(s):  
Magnetic Measurements ◽  
Sediment Source ◽  
Environmental Reconstruction ◽  
Lake District ◽  
English Lake District

Isotope mixing models require individual isotopic tracer content for correct quantification of sediment source contributions

2018 ◽  
Vol 32 (7) ◽  
pp. 981-989 ◽  
Author(s):  
Hari Ram Upadhayay ◽  
Samuel Bodé ◽  
Marco Griepentrog ◽  
Roshan Man Bajracharya ◽  
William Blake ◽  
...  
Keyword(s):  
Mixing Models ◽  
Sediment Source ◽  
Isotopic Tracer ◽  
Source Contributions ◽  
Isotope Mixing Models

Sediment source variations and lead-210 inventories in recent Potomac Estuary sediment cores

2010 ◽  
Vol 4 (3) ◽  
pp. 189-200 ◽  
Author(s):  
Frank Oldfield ◽  
Barbara A. Maher ◽  
Peter G. Appleby
Keyword(s):  
Sediment Cores ◽  
Sediment Source ◽  
Estuary Sediment ◽  
Lead 210 ◽  
Potomac Estuary

scholarly journals Paleoenvironmental implication of magnetic measurements on sediment cores from Taihu Lake, east China

1995 ◽  
Vol 7 (2) ◽  
pp. 141-150 ◽  
Author(s):  
Yu Lizhong ◽  
◽  
Xu Yu ◽  
Xu Shiyuan ◽  
Zheng Changsu
Keyword(s):  
Taihu Lake ◽  
Magnetic Measurements ◽  
Sediment Cores ◽  
East China

Accuracy of mixing models in predicting sediment source contributions

2014 ◽  
Vol 497-498 ◽  
pp. 139-152 ◽  
Author(s):  
Arman Haddadchi ◽  
Jon Olley ◽  
Patrick Laceby
Keyword(s):  
Mixing Models ◽  
Sediment Source ◽  
Source Contributions

Language and Literacy Predictors of Dialect Density Among School-Age African American Children From Two Geographic Regions

2020 ◽  
Vol 51 (3) ◽  
pp. 807-820
Author(s):  
Lena G. Caesar ◽  
Marie Kerins
Keyword(s):  
African American ◽  
Multiple Regression ◽  
Oral Language ◽  
East Coast ◽  
Geographic Region ◽  
Literacy Skills ◽  
School Age ◽  
Regression Analyses ◽  
Geographic Regions ◽  
American Children

Purpose The purpose of this study was to investigate the relationship between oral language, literacy skills, age, and dialect density (DD) of African American children residing in two different geographical regions of the United States (East Coast and Midwest). Method Data were obtained from 64 African American school-age children between the ages of 7 and 12 years from two geographic regions. Children were assessed using a combination of standardized tests and narrative samples elicited from wordless picture books. Bivariate correlation and multiple regression analyses were used to determine relationships to and relative contributions of oral language, literacy, age, and geographic region to DD. Results Results of correlation analyses demonstrated a negative relationship between DD measures and children's literacy skills. Age-related findings between geographic regions indicated that the younger sample from the Midwest outscored the East Coast sample in reading comprehension and sentence complexity. Multiple regression analyses identified five variables (i.e., geographic region, age, mean length of utterance in morphemes, reading fluency, and phonological awareness) that accounted for 31% of the variance of children's DD—with geographic region emerging as the strongest predictor. Conclusions As in previous studies, the current study found an inverse relationship between DD and several literacy measures. Importantly, geographic region emerged as a strong predictor of DD. This finding highlights the need for a further study that goes beyond the mere description of relationships to comparing geographic regions and specifically focusing on racial composition, poverty, and school success measures through direct data collection.

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