Curvilinear regression.

2017 ◽  
pp. 220-245
Author(s):  
M. Kaps ◽  
W. R. Lamberson
Keyword(s):  
Curvilinear Regression

Redefining ADHD Using an Adult Population: Should Inattention be Viewed as a Separate Dimension From Cognitive and Physiological Activity Level?

2017 ◽  
Vol 24 (14) ◽  
pp. 1977-1988
Author(s):  
Nathan Miller ◽  
Frances Prevatt
Keyword(s):  
Construct Validity ◽  
Physiological Activity ◽  
Adult Population ◽  
Activity Level ◽  
Sluggish Cognitive Tempo ◽  
Latent Structure ◽  
Level Method ◽  
Level Scale ◽  
Separate Dimension ◽  
Curvilinear Regression

Objective: The purpose of this study was to reexamine the latent structure of ADHD and sluggish cognitive tempo (SCT) due to issues with construct validity. Two proposed changes to the construct include viewing hyperactivity and sluggishness (hypoactivity) as a single continuum of activity level, and viewing inattention as a separate dimension from activity level. Method: Data were collected from 1,398 adults using Amazon’s MTurk. A new scale measuring activity level was developed, and scores of Inattention were regressed onto scores of Activity Level using curvilinear regression. Results: The Activity Level scale showed acceptable levels of internal consistency, normality, and unimodality. Curvilinear regression indicates that a quadratic (curvilinear) model accurately explains a small but significant portion of the variance in levels of inattention. Conclusion: Hyperactivity and hypoactivity may be viewed as a continuum, rather than separate disorders. Inattention may have a U-shaped relationship with activity level. Linear analyses may be insufficient and inaccurate for studying ADHD.

Multiple Curvilinear Regression

1998 ◽  
pp. 143-150
Author(s):  
Alexander von Eye ◽  
Christof Schuster
Keyword(s):  
Curvilinear Regression

Application of statistical techniques in modeling and optimization of a snake robot

Robotica ◽  
2012 ◽  
Vol 31 (4) ◽  
pp. 623-641 ◽  
Author(s):  
Hadi Kalani ◽  
Alireza Akbarzadeh ◽  
Hossein Bahrami
Keyword(s):  
Energy Consumption ◽  
Statistical Design ◽  
Optimization Techniques ◽  
Design Parameters ◽  
Snake Robot ◽  
Robot Performance ◽  
And Performance ◽  
Development Analysis ◽  
Curvilinear Regression ◽  
Range Of Values

SUMMARYThis paper provides a general framework based on statistical design and Simulated Annealing (SA) optimization techniques for the development, analysis, and performance evaluation of forthcoming snake robot designs. A planar wheeled snake robot is considered, and the effect of its key design parameters on its performance while moving in serpentine locomotion is investigated. The goal is to minimize energy consumption and maximize distance traveled. Key kinematic and dynamic parameters as well as their corresponding range of values are identified. Derived dynamic and kinematic equations of n-link snake robot are used to perform simulation. Experimental design methodology is used for design characterization. Data are collected as per full factorial design. For both energy consumption and distance traveled, logarithmic, linear, and curvilinear regression models are generated and the best models are selected. Using analysis of variance, ANOVA, effects of parameters on performance of robots are determined. Next, using SA, optimum parameter levels of robots with different number of links to minimize energy consumption and maximize distance traveled are determined. Both single and multi-criteria objectives are considered. Webots and Matlab SimMechanics software are used to validate theoretical results. For the mathematical model and the selected range of values considered, results indicate that the proposed approach is quite effective and efficient in optimization of robot performance. This research extends the present knowledge in this field by identifying additional parameters having significant effect on snake robot performance.

Maturation and Fecundity of Brook Trout from Infertile Streams

1966 ◽  
Vol 23 (5) ◽  
pp. 623-649 ◽  
Author(s):  
Richard S. Wydoski ◽  
Edwin L. Cooper
Keyword(s):  
Brook Trout ◽  
Age Groups ◽  
Reproductive Rate ◽  
Seasonal Development ◽  
Age Group ◽  
Group Iii ◽  
Total Length ◽  
Group I ◽  
Reproductive Rates ◽  
Curvilinear Regression

The reproductive rate of brook trout populations from infertile Pennsylvania streams was determined. The standing crops for eight streams varied between 14 and 41 lb/acre. Trout in age-groups 0 through III were found to grow slowly with very few individuals reaching a total length of 6 inches.The seasonal development of ova was determined by measuring all ova larger than 0.2 mm from selected females. The maturing ova of most females of age-groups II and III increased in diameter from 0.9 mm in February to 1.0 mm in June, 1.75 mm in July, 2.5 mm in August, 3.0 mm in September, and 4.0 mm in October. Maturing females could be distinguished from immature females by late August or early September on the basis of ova diameters. The mean diameter of ripe ova from 67 females was 4.05 mm with a range between 3.37 and 5.01 mm for individual trout ranging from 4.6 to 8.6 inches total length.The relationship between the number of mature ova and the total length of the female for one population was described by a curvilinear regression (log Y = −0.5361 + 3.23 log X, where Y = number of eggs, and X = the total length of the fish) for brook trout between 3.6 inches (18 eggs) and 7.7 inches (213 eggs). Variation in this relationship existed among streams.Ova production was estimated as 9050 ova per acre for one population and 13,620 ova per acre for another. Age-group-I females contributed approximately 9% of this production; age-group-II females, 54%; and age-group-III females, 37%. An ecological life table was constructed for two populations comparing rates of survival, age-specific fecundity rates, and reproductive rates.

scholarly journals The relationships between washing parameters, fabric movement, and wrinkling in a top-loading washer

2017 ◽  
Vol 88 (12) ◽  
pp. 1367-1376 ◽  
Author(s):  
Hong Liu ◽  
Yanyan Wang ◽  
R Hugh Gong ◽  
Jingfeng Zeng ◽  
Xuemei Ding
Keyword(s):  
Processing System ◽  
Critical Parameters ◽  
Water Volume ◽  
Dynamic Measurements ◽  
P Values ◽  
Rotating Speed ◽  
Liquor Ratio ◽  
Curvilinear Regression ◽  
The Relationship ◽  
Orthogonal Tests

Easy care for clothing is increasingly important, but the major problem is still the severe wrinkles formed on garments after machine washing. In this research, orthogonal tests and the analysis of variance (ANOVA) at a 95% confidence level were used to determine the critical parameters that affect fabric smoothness. We developed a video capturing and processing system for dynamic measurements of fabric in a top-loading washer to find the relationship between fabric movement and wrinkling performance during laundering. The ANOVA results showed that the smoothness of woven cotton fabrics was mainly affected by the washing load and the drum rotating speed, with p values of 0.000 and 0.036, respectively. Additionally, a relation models for fabric movements suggested by a curvilinear regression analysis indicated that the main causes of fabric wrinkling during top-loading washing were liquor ratio and the centrifugal force imposed on the fabric. The smoothness grade increased with the decrease of washing load and drum rotating speed, since these settings led to lower liquor ratio with a constant water volume and less stress on the fabric. The results of this study provide valuable information for the optimization of washing programs for fabric smoothness.

scholarly journals Prediction and Optimization of Weld Bead Geometry

2019 ◽  
Vol 8 (10) ◽  
pp. 2735-2742
Keyword(s):  
Weld Bead ◽  
Welding Parameters ◽  
Bead Geometry ◽  
Weld Bead Geometry ◽  
Bead Width ◽  
Current Voltage ◽  
Weld Parameters ◽  
Curvilinear Regression ◽  
Travel Rate

Bead geometry plays very important role in predicting the quality of weld as cooling rate of the weld depends on the height and bead width, also bead geometry determines it’s residual stresses and distortion. Weld bead geometries are outcomes of several welding parameters taken into consideration. If arc travel is high and arc power is kept low it will produce very low fusion. If electrode feed rate is kept higher width is also found to be on higher side which makes bead tto flat. Also, the parameters like current, voltage, arc travel rate, polarity affects weld bead geometry. Hence, this paper uses techniques like ANN, linear regression and curvilinear regression for predictions of weld bead geometry and their relations with different weld parameters. I. INTRODU

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