regression

After test artifacts have been documented in the regression library during the knowledge management phase, they are ready to be automated.

With the building of the whole regression economic model of the boat market and shipping market, we got the relationship between factors.

We establish the combined regression-time-series model for Chinese inflation and compare its forecast results to that of regression model.

It's actually quite easy to put our data through the regression model using the WEKA API, far easier than actually loading the data.

It is shown that the results of linear regression analysis are highly consistent with that of Input-Output method.

The least square approach is applied to get regression curves and a design plan is proposed on the basis of the regression curves.

If a new regression bug is found, it is often easy to detect which change is likely to have caused it.

It was an important evolution and marked the end of transgression and regression cycle of the Cambrian and Ordovician in Tarim area.

These years also witness something of a regression, after leaving behind the simple certitudes of university.

Regression testing reveals any differences that may have been introduced into the application since the last build.

I also demonstrated how to develop and implement the heart of a simple linear regression algorithm using PHP as the implementation language.

The regression model is then used to predict the result of an unknown dependent variable, given the values of the independent variables.

The patient had a complete regression of her symptoms, wherefore there was no indication for neurosurgical intervention.

Questionnaires were used for data collection and hierarchical regression analyses were used to test the hypotheses.

The next step in the simple linear regression procedure is to determine if the remaining squared error of prediction is acceptable or not.

Remember, at this point in the standard approach to regression tests, the team would have been blindly running the whole regression suite.

Well, first off, remember that regression can only be used for numerical outputs. That differentiates it from Nearest Neighbor immediately.

The best we could do seems to be to plug this into a regression formula to predict utilization as a function of packet size and rate.

Non-parameter test and regression analysis had been used to efficacy and safety of amlodipine terazosin and its combination therapy.

Its results are compared with that of the least squared regression method.

At this point, it's not against the old regression equation to analyze production status, otherwise, would produce the wrong conclusion.

The second table contains some recommendations that you can use to possibly resolve or to possibly work around regression issues.

The regression analysis revealed the elasticity of every independent variable to foreign investment.

This formula can be easily used on scientific calculator if it is capable of calculating coefficient of regression.

The caption of a regression table should have the regression equation and the name of the variables, especially the left hand variable.

Another advantage of using automation tools to perform regression tests nightly is fewer changes introduced since the last test.

The data with even numbers of these series were used to obtain the regression coefficients and all data were then considered for validation.

Predicting qualitative output is called classification, while predicting quantitative output is called regression.

In the regression, the man found himself in the battle of Somme of World War I on the British side.

Variables with a significant univariate relationship were loaded into a series of binary logistic regression models.

Then highlight the concept of automated testing technology, design and mainstream automated regression testing and performance testing tool.

Already he has shown that such a fortified mix can cause tumor regression in up to 70% of melanoma patients.

By our logistic regression analysis, the age of pregnancy might be associated with type 1 diabetes.

If the observations used in the analysis extend back in time for several years, the resulting regression line may be too steep.

Settlement of earth-rockfill dam is mainly influenced by aging deformation and regression model is usually adopted for settlement analysis.

His notion of political religion is one of a great regression to paganism and idol worship.

Builds the performance curve regression equations of two types of pumps with the least square method, and gains the fitted curve equations.

Multivariate logistic regression analysis revealed that hyperuricemia was an independent risk factor of CAD.

On the system used to prepare Example module, the module system testing, installation testing, regression testing.

Thus, these percentages are higher than they would be if BP had been measured over time (regression toward the mean).

Enables you to perform Segmentation, Distribution, Concentration and Linear regression analyses on a selected group of banks.

Second-order fractional polynomials and random effects meta-regression models were used for modeling the dose-risk relation.

The total torque requirement is calculated by a nonlinear auto-regression with exogenous input (NARX) dynamic neural network model.

The principal component model and the regression model between the total dissolved solids and ions content were established in this paper.

Spontaneous regression of erythema multiforme in different parts of the body was recognized when the ringworm infection resolved.

By forecasting the length of the elastic rope with linear regression anslysis, test vehicle's speed can be controlled accurately.

Multiple logistic regression analysis was used to identify factors associated with a good outcome.

And the nonparametric models is based on data, the form of its regression function is discretionary, so it has a great adaptability.

By means of progressive regression method, a mathematical model of the air hammer was developed.

On this basis, the global optimum of the multi-scale regression modeling problem can be obtained by solving a quadratic programming problem.

By means of regression analysis of the experimental data. a empirical formula on the lining friction coefficient of hoist is developed.

So, at this point, this description should sound similar to both regression and classification.

But Bebber thinks this method is the wrong one for the data, and that the team should have used a technique known as ordinal regression.

Hierarchical multiple regression analysis revealed that expectations being fulfilled was the most significant predictor of global outcome.

The regression rate of carcinoma, the retained time of embolism, the survival stage, the survival rate and histopathology were observed.

We build up multi-factor regression series, the explanatory powers in most cases illustrate that the result of regression are successful.

Applying of partial least-squares regression in the research of the urban economy is one of domain directions in economy research.

Within a few days, spontaneous regression occurred.

Extended traditional test-driven development methodologies to ensure the system regression suites evolved with all new features and fixes.

The peak areas for the sample of each concentration were obtained, and linear regression was applied to the calibration curve.

After analyzing the data by regression statistics, linear regression equation was established and correlations were examined as well.

He had been doing well with spontaneous regression of one of the skin lesions on his face 6 months after the operation.

A cautionary note at this point: If the regression test suite is very comprehensive with high coverage, then this will work perfectly.

The first semester of this module introduces you to the technique of multiple regression modelling.

Trials on a form of aggressive primary brain tumour have shown one complete regression out of 14 treated patients.

With binary logistic regression analysis to CHD, to evaluate whether serum uric acid is an independent risk factor of CHD or not.

The result of logistic regression analysis indicated that serum bilirubin, uric acid were the independent risk factors.

By doing this, the system can be rebuilt regularly (often nightly) and regression tested with little human intervention.

Finally, since the vector regression model more precise simulation of the ship of the timecharte rental level of the trend.

A preference index and logistic regression were used to determine the important habitat variables for each species.

Methods: Cluster randomized sampling method for selecting subjects and multinomial logistic regression were used to analyze these data.

Data mining commonly involves a few standard tasks that include clustering, classification, regression, and associated rule learning.

of small block weight with regression equation method can be further extended to all the base metals deposit reserve calculation .

The child, facing stress of hospitalization, used coping behaviors that included regression and escapism .

The accuracy and precision of this method are better than those of least square regression.

and a support vector machine regression (SVR) technique is introduced to establish the model of power equipment insulation status change.

Third, stepwise regression method was used to test the direct effect as well as moderating effect of team climate for innovation on IWB.

Correlation coefficient, r, was inappropriately used to describe the significance of curve regression equations.

Test the outcome trials in Prof. Staessen's meta-regression diagram to see if the Asian trials fit into the slope.

The temperature and pH used in determination of the enzyme activity were optimized by quadratic saturation D-optimum regression design.

They may continue to full development or be modified by regression, trauma, or other extraneous factors, producing secondary lesions.

The relative error of the spectral prediction models of the nicotine contents by the step regression method are commonly less than 10%.

This step involves analyzing the impact of the change on other parts of the application and conducting proper regression testing.

Logistic regression showed pulmonary artery velocity to be independently associated with thrombosis.

These tests can be used to verify that there has been no regression or change in the user interface from coding changes.

In the multivariate regression models, multicollinearity between the multivariate are very common.

The regression analyses to correlate the control actions with the results for various stages of a batch to obtain more accurate models.

We estimated hazard ratios (HRs) and 95% confidence intervals (CIs) by means of multivariable Cox proportional hazards regression models.

Therefore, the mass of the sun changes in the planet have little effect in the regression is negligible.

The psychologist believed that the man was experiencing regression as a result of dealing with a new situation.

For aeons the souls of men have been in jeopardy of stagnation, slow evolution and believe it or not regression.

Reference control points(RCPs) used to establish the regression model in registration are commonly assumed "perfect" .

Explore the maximum oxygen uptake and lung capacity, the relationship between the chest and set up the regression equation.

The least square method of error self-regression is used to correct the result of the real time flood forecasting.

Certain entry criteria are used to determine code readiness for system test (e. g. , regression status, defect backlog, etc. ).

One patient had a 50 percent regression of a large pulmonary metastasis which , upon surgical removal , showed active osteogenic sarcoma .

You can use logistic regression to describe which input columns are important in determining the state of the predictable column.

With independent samples, researches aim at the strong consistency of the weighted kernel estimators of nonparametric regression functions.

Regression analysis showed that the stemflow, throughfall, and interception of the shrubs had logarithmic correlation with rainfall.

and with regression analysis to discover the impact of the brand satisfaction to the brand loyalty.

Take the cement -flyash as the example, applies the multiple regression analysis method establishment intensity regression equation.

Structural regression would be very bad for China.

There was no evidence of tumor regression in any patient.

Multiple stepwise regression analysis indicates objective support is the main protective factor affecting prenatal depression level.

The example shows that it is feasible that the theories of grey correlation and regression analysis is used for social power consumption.

As I indicated above, we regression test thoroughly with an evolutionary approach to development.

It is more close to life, emphasizing true, people-oriented, the pursuit of a harmonious, natural, pure, regression-based state.

After regression, the mathematic relation between oxygen transfer coefficient and up-flow speed of the air in the reactor is clarified .

diaphragm is capable of raising the local regression rate and surface temperature of the solid grain just after the diaphragm.

The first of these was regression, which can be used to predict a numerical output (like house value) based on other example data.

Descriptive Statistics, Chi-Square, Independent T Test, ANOVA , and Logistic Regression were used to analyze the data.

A universal equation that has certain guideline for the practical production is obtained by the regression of the experimental data.

A regression analysis method is then used to capture key factors affecting the operation efficiency of military hospitals.

Then, this paper uses the logit regression model to test the relation between the top management turnovers and performance.

Countries were ranked into five HDI categories and multivariable regression was used to explore associations.

However, researchers and managers often failed to interpret regression coefficients properly.

Linear regression model is useful to evaluate the adaptation of a quantitative character to the change of environments.

Multiple logistic regression was used to identify predictors from self-reports and clinical examination.

Cox regression analysis was carried out with adjustment for known clinical predictors and other lifestyle factors.

The questionnaire descriptive statistical analysis, the difference analysis, correlation analysis and regression analysis.

Thus, the dimensional linear regression method can be used to extract predominant modes of vector variability.

The best fitting agreement models and its parameters were evaluated by nonlinear regression analysis.

Multiple linear regression analysis was used to measure the relevance of the information.

The conclusion can be drawn that the optimal heat transfer performance of PHP can be achieved by solving for extremum of regression model.

The system is employed for confined and shear test. Then sand parameters are obtained through regression statistics of test data.

Multivariate logistic regression and odds ratio assessment were performed as well.

Echocardiographic assessment showed that significant regression of LVH occurred following transplantation, the report indicates.

The most accurate method to determine the behavior pattern of a mixed cost is least-squares regression.

Thirdly, this paper analyzes the influence of each factor on China's education service trade through multivariate regression model.

Quantile regression analysis of the rational addiction model: investigating heterogeneity in forward-looking behavior.

Modern city of the noisy confusion of the world's aversion, there is an urgent desire to nature, quiet and simple regression.

Therefore, the Hurdle model can be considered the combination of binary regression model and the zero-truncated count model.

On this basis, the relationship between labor force participation rates and economic growth is researched using of regression analysis.

Then, correlation index and regression model are used to forecast population scale, urban quantity and urbanization in Jiangsu province.

Then we show how these results can be used to construct confidence bounds for the regression parameter.

Two personality traits shine through the complexity of economists' regression analyses: neuroticism and extroversion.

We examine the relationship between the stock return and trading volume in Shanghai and Shenzhen Stock markets using quantile regression.

The thickness of this sheet sandstone is related directly to rate of regression and the amount of sand available.

The regression results show that the transportation and tele-communication infrastructure have relatively significant impact on export.

In the first of this two-part series, " Simple linear regression with PHP, " I explained why a math library can be useful for PHP.

XY data can be modelled using a toolbox of linear regression models, nonlinear regression models, interpolation, or splines.

Language barrier language retardation, or after normal language development language regression, lack of communication or language nature.

The infective of the regression equation together with the regression coefficient are distinctness by significance testing.

Linear regression method was used to analyse the effects of maceral and rank on morphology of coal and corresponding char.

Data collected were analyzed with exploratory and confirmatory factor analysis, multiple regression analysis, and descriptive statistics.

Descriptive statistical analysis, reliability and validity analysis, factor analysis, regression analysis were adopted in analysis.

Results COX regression indicated the statistical significance in stress, milk and fried food over the other postulated risk factors for IBD.

Books designed to reflect the concept of pure and fresh, natural regression.

Data from the regression line itself may be helpful to provide mathematical estimates of the degree of linearity.

Evidences include some of the major multi-variable tests, a single variable T tests, trend analysis and multiple linear regression analysis.

The Six Sigma Black Belt will be able to identify patterns in residuals from an improper regression model and to apply the correct remedy.

The test will duplicate a manual regression suite that requires several senior testers to run; it will require only one junior tester.

And the last part tries to put forward some strategies of regression.

Multivariate regression analysis showed the type of hepatic virus was a dependent of Influential factors of prognosis.

The agile transition away from dedicated regression cycles and teams resulted in significant labor savings for the organization.

Although regression analysis deals with the dependence of one variable on other variables, it does not necessarily imply causation.

Logistic regression was used to identify factors associated with antibiotic misuse.

Including: selection of core indicators, calculate indicators'weights, linear regression, classification index level.

One of the trickiest checks in regression setups is doing floating point comparisons.

Then regression method can be used by all the common factors of the score function, and can be integrated score obtained for each company.

After obtaining the set of points, the LinRegIntercept function returns the intercept of the regression line (b in the previous equation).

a smooth curve fitted to the set of paired data in regression analysis; for linear regression the curve is a straight line.

We introduce ridge approximation techniques, which include single- and multi-layer perceptrons and projection pursuit regression techniques.

If you are going to bet on a reusable software asset and advertise it to the world you need to have a suite of regression tests for it.

However, as the hype factor weakening the capacity and increase the supply of the earthquake, PX prices recent regression.

Tests show that the application of the regression method to qualitative and quantitative interpretation is feasible.

Owing to the conventional linear regression model is sensitive to abnormal data, therefore the regression equation is not stable en ough .

The regression method of rheology parameter for non-Newtonian fluid is obtained by the least square method.

Results of regression analysis show that the quality of social responsibility reports positive affect the market reaction significantly.

Set representation, Fuzzy random variables, Fuzzy regression model, Fuzzy expected value, Fuzzy distribution function, Fuzzy unbiased.

By the same token, however, regression to the mean does not sign off when markets are racing far ahead of long-term trends.

Parameters of mathematical models have been obtained by the regression analysis on the experimental data.

Indicators of the bumper close planting tea orchard can be obtained from linear regression equation.

The correlation coefficients and path coefficients were calculated by correlation analysis, path analysis and multiple regression analysis.

Duties: domestic and international literature review to examine the collection of data collation, statistical software regression analysis.

We have fixed a lot of infrastructure so that the community should be able to regression test all language updates using our tests.

abstract: Objective: To investigate the effect of the early application of timolol on refractive regression of high myopia after LASIK.

Because regression test material does not change significantly over time, this data remains relatively static.

Regression testing include re-running previously run tests and checking whether the previously fixed issues have occurred.

Objectives and Assumptions of Linear Regression, Estimating Regression Coefficients, Normal Equations.

Regression models were developed for the total sample, by gender and by race.

And not having to know history's next mad rage or regression, it might be a relief.

In this paper the basic principles of regression technology and its application in electric furnace steelmaking are studied.

I said all relevant regression tests.

First, the article presents descriptive statistical analysis, single variables comparative analysis and makes regression.

Mainly adopts the single factor variance analysis, the T-test, the regression analysis to carry on the data analysis and processing.

METHODS: Concentration-time data of two-compartment model were fitted using MATLAB nonlinear regression.

The equation for K value in this paper is derived by means of regression analysis on other scholars' data.

By means of regression analysis, the values of creep parameters of frozen clay are obtained.

Finally, Linear regression models between modal properties of the two bridges and temperature are respectively built.

We make experiments with classification and regression tree ( CART ) as well as extended stochastic complexity (ESC).

The experiments for parameter estimation of nonlinear regression modeling s show that the HGA has better generalization and effectiveness.

The stepwise multiple regression statistics method was used to analyze all collected data.

Hydrologic forecast model with multidimensional and hybrid regression system is combined by regression and autoregression methods.

As compared with stepwise regression, information criteria enjoy solid theoretical foundation and good statistical properties.

Caudal regression syndrome (CRS) is a constellation of caudal congenital malformations with associated regional soft tissue anomalies.

The mechanism affecting the entrepreneurial opportunity identification was analyzed by multi-regression analysis method.

Independent and interdependent self-construals and ethnicity were entered into the regression but yielded no significant effects.

Regression relation expressions between the neutron-density curve overlapping area and gas output are fitted.

Nonetheless, the regression coefficients were negative much more often than expected by chance, suggesting that weak mass effects operated.

Negative binomial regression models were used to assess trends and associations.

Usually people used to use regression analysis to deal with these problems.

A logistic regression test of the distribution of different blood types found no significant difference between patients and controls.

Then it does a regression of the experience research data and selects a concrete method to deal with the experimental data.

The quantitative relationship between tube voltage and phantom incident dose can be described by a cubic regression equation. 2.

I've been mulling over for a while now how regression testing works with regard to our games.

Conclusions: The multiple regression analysis may predict unknown variable from known variables in morphological application.

The results showed that the analytical calculation outcome of nonlinear regression analysis model was are scientific and reasonable.

A number of primary independent variables influencing pedestrian LOS was identified and tested in the stepwise regression analysis.

We used Chi-square test, analysis of variance, and logistic regression to determine the factors that affect the choice of delivery mode.

The clinical information were compared and logistic regression analysis was performed in two groups.

The empirical equation of milling force is achieved by regression analysis method, and proved to be tried.

The correlation coefficient y-intercept slope of the regression line and residual sum of squares should be submitted.

After Perceived Social Support enters into the regression equation, it add the explain to the regression equation significantly.

Simple linear regression model is applied to compare the difference in SGA usage pattern between public and private hospitals.

We highlighted an efficient approach of nonlinear Wiener filtering that relies on the theory of least support squares vector regression.

Secondly, we established some regression models for retrieving chlorophyll concentration using spectral data and routine water quality data.

Meanwhile, a linear regression model and a BP neural network model for predicting the springback quantity were set up.

Correlation and regression analysis showed that parental rearing pattern obviously affected self consistency and congruence.

The regression analysis result shows that both the weight of Safflower powder and the number of complete cell are significantly correlated.

Sigmund Freud dismissed religious mysticism as "infantile helplessness" and "regression to primary narcissism. "

Arrange to specific regression nevertheless, wang Jianzhou says to still do not have specific timetable at present.

Experimental raw data was collected to analyze the linear regression with ANOVA , therefore establish Fitts Law model for this experiment.

Methods Dummy variable is introduced into the linear regression equation to correct cyclical variation and reduce error of forecasting.

And Average True Range, Linear Regression, MACD, Momentum, Relative Strength Index, Standard Deviation, Stochastic open below chart window.

Result: Regression analysis data suggest that debt financing had a crowding-out effect on uncompensated care service.

Because of the high complexity of these relations, conventional regression analysis is not sufficient to build an accurate model.

At last, we make empirical research by the marketing survey, regression analysis, association analysis on the cognitive model above.

The Six Sigma Black Belt will be able to conduct simple and multiple linear regression .

Multivariate analysis revealed that the drop in LDL-C and increase in HDL-C both independently predicted atheroma regression.

The Microsoft Logistic Regression algorithm provides logistic regression support for more business flexibility.

The linear bivariate regression method in this paper is proved better than the method of traditional arithmetic average.

Stable and global variables entered the equations of depression, anxiety, obsession and compulsion in multiple linear regression analysis.

Secondly, analyzed the characteristics of term load forecasting, using support vector regression algorithm for long-term load forecasting.

The cumulative one-year rate of cytological regression was similar in women with mild and moderately abnormal cervical smears.

The correlation between temperature and electricity load is studied by correlation coefficient, scatter plot and regression analysis.

The subjective satisfaction degree has linear regression with the personal relationship of college students' dormitory.

Automation of regression tests is desirable when the software is frequently changed in minor ways, and new releases are often delivered.

These three scripts will serve as the baseline for your regression.

Examples show that: semi-parametric regression model fitting results is better applied to load forecasting.

Pearson correlation, structural equation modeling and hierarchical regression were employed to examine the proposed model.

The correlations of flooding velocity and characteristic velocity were obtained respectively by regression analysis.

Regression is the easiest technique to use, but is also probably the least powerful (funny how that always goes hand in hand).

Finally, after Level regression analysis, founded the cultural identity has intermediary effect to the national impression.

with a few record of forced regression system tract.

An improvement to "On the asymptotic theory of fixed-size sequential confidence bounds for linear regression parameters"

Then, regression analysis, further analysis on the Yangzhou County Economic Competitiveness specific factors.

Linear and logistic regression models were constructed examining the relationship between urbanicity and chronic disease risk.

Using threshold regression analysis, we isolate three regimes that exhibit different associations between recency and stock return.

In his view, conventionality may be the price of social stability, in spite of the danger of more severe group regression.