Regression analysis - Globe Thesis

Keyword [Regression analysis] Result: 1 - 20 \| Page: 1 of 10
1.	Studies On Physiological Mechanism Of Genotypic Difference In Cadmium Accumulation And Tolerance Of Barley
2.	Quantitative Retrieval Of Soil Constituents Using Hyperspectrum
3.	Studies On Seed Germination And Its Regulation Of Root Parasitic Weed Orobanche
4.	Studies On The Pharmacokinetics And Simultaneous Pharmacokinetic-Pharmacodynamic Modeling Of Meperidine In Goats
5.	The Relationship Between The Climate And Radial Growth Of The Trees Commonly Used For Restoration In Shandong Province
6.	The Estimation Of Mangrove Biomass And Carbon Storage Using Remote Sensing Data In Beibu Gulf Coast
7.	Study And Application On The Occurrence Prediction Model Of Paddy Stem Borer (Scirpophaga Incertulas) And Liriomya Huidobresis (Blanchard)
8.	Detection Of Berry Quality Based On Near Infrared Spectrum And Machine Vision Technology
9.	Studies On The Soil Hydraulic Properties And Pedo-transfer Functions In Fengqiu County
10.	The Quantitative Evaluation Of Forest Tourism Resource In Lanzhou District
11.	Studies On Pharmacokinetics And Residues Of Sarafloxacin Hydrochloride In Chicken
12.	Cold Resistance Characteristics Of Tea Clonal Seedlings
13.	Virtual Experimental Analysis On The Cleaning Element In Brush Shape Of The Sugarcane Harvester
14.	Selection Of Barley Varieties For Specific Use In Barley Green Production And Agronomic Optimization
15.	Estimation Of Soil Hydraulic Characteristic Properties Of Keerqin Sandy Land
16.	Studies And Application Of Prediction Model Of Cauliflower Breeding
17.	Study On Corelations Among Major Factors And One-way Volume Table Of Sawtooth Oak (Quercus Acutissima)
18.	Preliminary Construction In Theoretical Framework Of QTL Mapping For Dynamic Trait
19.	Optimization Study On Working Parameters Of Sugarcane Harvester Discal Cutter
20.	Determination Of True Fecal Calcium And Phosphorus Digestibility Values And The Endogenous Fecal Calcium And Phosphorus Losses Associated With Soybean Meal For Gilt And Barrow By The Simple Linear Regression Analysis Technique
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