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Showing 1 to 5 of 5 for “"Curvilinear regression"”.
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Distributional Ecology of Vegetation in the Vernal Pools of the Santa Rosa Plateau, California
… predictor of species richness in each type of regression model evaluated. Area predicted most accurately in a mixed linear-curvilinear regression model (y = a + b log x). Area appeared to reflect ecologic diversity, because multiple linear regression models provided better predictions of …
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A Zone-Based Multiple Regression Model to Visualize GPS Locations on a Surveillance Camera Image
… what is happening. My research uses multiple curvilinear regression models to accurately place differentially corrected GPS points with submeter accuracy onto a camera image. Optimal results were achieved after splitting the image into four zones with the focus on calibrating each area …
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Chemical and molecular properties of processed soy proteins
… length of hydrolysis time were analyzed by curvilinear regression. Differences between maximum measured value and 24 hour hydrolysis time value most often occurred in soy isolates. Standard 18 or 24 hour hydrolysis times were found inadequate for accurate measurement of essential amino acids …
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Population Increase and Range Expansion of Three Psittacids in Florida and California
… the early 1970s. I then performed linear and curvilinear regression statistics on percentage of birds seen per party-hour versus year, percentage of CBCs containing parrots versus year, and number of parrots seen per CBC circle per year.</p> <p>Monk Parakeets showed significant curvilinear …
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Relationships between primal cut weights and economic value and live animal, carcass, and meat quality measurements in crossbred pigs
… or carcass and primal cut value (r ≤ 0.21). Regression analyses were conducted to develop equations to predict primal cut weights (individual and total) and estimated value (carcass and primal) using either live animal or carcass measurements. Curvilinear regression equations provided only …