multivariate

Finally, this paper puts forward other questions to which attention should be paid when applying Multivariate Statistical Analysis.

The constitution theory of a properly posed set of nodes for the multivariate polynomial graded interpolation is studied deeply inthe paper.

As a method of multivariate statistical analysis, Q-mode hierarchical cluster analysis has always been widely applied to many fields.

To adjust confounding factors, multivariate analysis was used for the statistical significant variables in single factor analysis.

In this paper, the Multivariate Autoregressive Model( MARM ) in time series is applied to set up the movement state of naval vessel .

Multiple Random Variables, Bivariate Distribution, Marginal Distribution, Conditional Distribution, Independence, Multivariate Distribution.

Multivariate sensitivity analysis was used to estimate the uncertainty around the findings.

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

Objective: To explore the applicability of a multivariate and multilevel model in a longitudinal research with several dependent variables.

But under, mr Han enquires to the bank, on card of this ability discovery 1000 multivariate be cheated.

We begin with the case of a single random variable, after which generalization to the multivariate case is simple.

The fuzzy multivariate statistical method has shown to be a practical, simple and useful tool to assess and prevent groundwater pollution.

In this paper, nonseparable multivariate wavelet transforms of the general form are presented.

ConclusionThe results of multivariate statistical analysis proposed that kidney deficiency pattern is one of the primary patterns in DM.

As a multivariate statistical analysis method, principal component analysis is widely used in data process and reduction.

Multivariate associations of lip tubercle prominence with vaginal orgasm (ever and past month consistency) and with orgasm by other means.

Multivariate analysis showed that CR rate was an independent prognostic factor.

In multivariate analysis, increasing age was an independent prognosticator of poor overall survival (P = . 041).

Multivariate technique A technique of analysis (normally of a statistical nature) which involves more than two variables.

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

The definition of the biorthogonal multiple vector-valued multivariate wavelet packets and a procedure for constructing them were given.

Obviously, the advantages of the simple line chart apply to the multivariate extension as well.

Univariate and multivariate analyses were performed to determine whether pre therapy CBF was correlated to the likelihood of recanalization.

Chemometrics, Chemical sensors, Multivariate calibration, Three-way data analysis, Second-order calibration, Tensorial calibration.

This paper considers the reliability and inspection policies for a system with multivariate diagnostic parameters.

Data obtained have been analyzed by multivariate statistical analysis methods including tactor and discriminate analysis.

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

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

Multivariate Cox proportional hazards models were used to identify factors linked to early neonatal death.

Univariate and multivariate analyses were performed to determine any associations between variables and outcomes.

This thesis is of great help to apprehend and master the multivariate differential and integral calculus .

On the Building of the Inheritance and Development Mechanism of Multivariate Minority Folk Culture in Guizhou .

With the help of the multivariate distribution function, the estimates of the parameters for the distribution of LR-fuzzy data are obtained.

Discriminant analysis is an important method in multivariate statistic analysis to distinguish what type an individual should belong to.

When the genomic prediction was added to a multivariate Cox model, the predictive utility of the model significantly increased.

Meanwhile, the multivariate analysis indicated that age, previous choledochotomy and diabetes mellitus were the independent factors for ACS.

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

Multivariate analysis showed that VEGF was a risk predictor because of the higher expression and the shorter survival time of the patients.

Standard bivariate and multivariate statistical tests were applied to compare patients with and without hemorrhage.

Multivariate analysis revealed that starch is an integrator of the overall metabolic response.

Conclusion Multivariate analysis proved following list are independent prognostic factors: abdominal, distant metastases and TNM stage.

Multivariate data visualization is an important way of understand multivariate data.

Conclusion: Multivariate and multilevel models can effectively analyze longitudinal data with several dependent variables.

Simulation results show that the application of multivariate statistics method to monitor continuous casting mould process is feasible.

Multivariate Expansion and Integrated Symbiosis--An Approach to the Innovating Technique in the "Generalized Regional Architecture"

Similarly, BAC was not a significant independent predictor of GCS score in a multivariate model.

Principal Component Analysis (PCA) is a main multivariate statistical method for getting principal information from observational data.

Just because your data is multivariate does not mean you only have to examine it with multivariate tools.

The multivariate nature of the present study adds to our knowledge of macro-level team schema constructs.

Results from multivariate analyses showed that complicated surgery dramatically increased the risk of endophthalmitis.

This paper introduces a multivariate statistical analysis used a statistical analysis method -- discriminant analysis.

New Zealand climate change information derived by multivariate statistical and artificial neural networks approaches .

Rich and flowery, multivariate and alterable colour, with the corner space in the home, can bring a space special grade.

Multivariate analysis identified risk factors associated with postoperative hematoma volume.

The former Chinese traditional marriage notions also have been changed to the multivariate situation.

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

Firstly, we develop some new methods on the basis of graphical models, which has been widely used in data mining and multivariate analysis.

For system innovation, multivariate investment strategy. Development, in innovation.

Multivariate analysis revealed that TNM stage and therapeutic interventions significantly affected prognosis of PCG.

Spectral decomposition estimators of variance component matrix in mixed linear model are generalized to multivariate mixed linear model.

Ruin probability, Multivariate compound Poisson risk model, Phase-type distribution, Association.

To obtain a rapidly convergent algorithm, the parameter expansion technique is applied to the correlation structure of multivariate model.

A preprocessing method for multivariate data in chemometrics, called orthogonal signal correction (USC), is introduced.

Multivariate regression method for determining particle efficiency of deoil-hydrocyclone.

This project studies systemically the problems of constructions, computations, convergence and smoothnesses of multivariate vector wavelets.

Multivariate splines are applied widely in approximation theory, computer aided geometric design and finite element method.

In this correspondence, the objective is to segment vector images, which are modeled as multivariate finite mixtures.

COX multivariate survival analysis: TNM stage, PTEN and Ezrin expression is an independent prognostic risk factors in NSCLC patients (p05).

Multivariate analysis showed that age , T stage , N stage , skull base invasion were independent prognostic factors of NPC radiotherapy.

The multivariate analysis controlled for all factors with significant associations emerging from the univariate analysis.

Objective To explore the applied conditions and advantages of multivariate analysis of variance(MANOVA) in medical experiments.

Multivariate analysis can screen the independent predictors from the prognosis of intracerebral hemorrhage.

We identified predictors for completion through multivariate logistic regression.

Prediction and evaluation of atmosphere environment quality is a typical, multivariate and nonlinear problem.

Analysis shows that the improved model can strengthen the security of various multivariate signature schemes.

These important variables are finally substituted into the multivariate grey prediction model.

Post-modernism is a thinking mode with three features: counter-modernism, multivariate thinking and negative thinking.

In a multivariate analysis, however, only the presence of N2 disease remained a significant predictor of poor outcome.

Normally we identify the properties of unknown geological object by multivariate discrimination function.

Through the analysis of multivariate return, it concludes that customer satisfaction has a positive relation with all these three aspects.

Multivariate tests can be particularly useful if your client is unsure of how they want their site designed.

On multivariate analysis, percentage of nocturnal fall in SBP and elevated resistive index independently correlated with GFR.

Multivariate analysis showed that lymph node metastasis and depth of bowel wall invasion were risk factors for recurrence and metastasis.

The multivariate statistical method is introduced in this paper to diagnose insulation performance and identify its aging stages.

Multivariate regression of risk factors and hospital mortality and the incidence of adverse cardiovascular events were analyzed.

This paper presents the prediction of Si content of molten iron by adopting methods of multivariate linear regression and neural networks.

The related factors were analyzed with single factor analysis and multivariate stepwise regression analysis.

Other companies that offer multivariate testing and optimization include Omniture and Accenture.

Multivariate individual growth curves across age were created for daytime and nighttime blood pressure jointly.

It is based on "thing are together by their attribute" , and indicators to classify samples of a multivariate statistical analysis methods.

Conclusion. We used multivariate analysis to identify significant risk factors for visual loss after spine surgery.

And then it demonstrates that form is changeable and multivariate in aesthetic and art activities, and this relation is much complicated.

with multivariate stepwise regression analysis, CAS full score may predict the learning achievement.

The surgical time, malignant grade, marginal states were independent predicators for the risk of recurrence at multivariate analyses.

The 2D graphical representation of multivariate data includes single point representation and multiple points representation.

Gaussian Markov random field is a multivariate Gaussian probabilistic model with Markov property.

Non-negative matrix factorization (NMF) has been proposed for multivariate data analysis, with non-negativity constraints.

If your website grows to the point where you have upwards of 1 million visitors per month, you can use multivariate testing.

breaking the barrier of multivariate cooperation construction.

Marginal model of multivariate failure times adjusted the dependence among ages at onset of multiple relatives.

Each factor's contribution to the CFR was determined through multivariate logistic regression.

This paper presents an unsupervised algorithm for learning a finite mixture model from multivariate data.

Finally, this paper proposes a multivariate selection for its inheritance and development.

On the land of kilometer of this 9. 7 square, infrastructure builds accumulative total to throw 400 million multivariate people.

Comparison of the 2 groups and factors associated with CSF pressure were analyzed by univariate and multivariate analyses.

This article proposed the use of multivariate statistical methods and related software to conduct a preliminary identification of gem.

Then, the multivariate statistical methods are performed on mapped data in reservoir space.

It is multivariate to open to go to meet , harmony passes totally Cheng; Today assembles mountain city, tomorrow Chinese wind.

Development of new multivariate calibration method and model conversion method.

including univariate and multivariate models.

BHMY flexibility is defined, to support multivariate mechanics , may change altitude and width speedy , simple.

Testing for Constant Hedge Ratios in Futures Markets: A Multivariate GARCH Approach.

Clinical or molecular predictors of TTF were examined by multivariate analysis.

According to the exist methods and theories, a parametric programming approach to multivariate robust design is suggested.

Univariate and multivariate analysis were performed on the data by SPSS software.

Their approach is based on the assumption of multivariate normal distribution of the multiple diagnostic tests.

Risk factors for MTB infection were evaluated by multivariate analysis.

Multivariate linear regression algorithm is used in calibration software design.

The third chapter study on the dynamic correlation multivariate stochastic volatility (DC-MSV) dynamic hedging theory model.

Based on the principle of multivariate statistical analysis, the theoretical model of data rectification was developed.

A new method is introduced for character recognition based on graph and feature primitives' representation of multivariate graph.

Univariate and multivariate analysis was performed to assess the effect of OSA severity on AAA expansion.

As for the previous treatment spent 60000 multivariate can obtain labor contractor compensation, or a question mark.

This paper develops and tests a new Multivariate Cumulative Sum (MCS) model for assessing a countrys foreign debt risk.

WwW. zIdiR. coM The partial least square method is a multivariate statistical analysis method.

It is found that the neural network control is more appropriate to the multivariate and non-line system.

Possible risk factors pertaining to the development of complications were identified using univariate and multivariate analysis.

By multivariate analysis, liver biopsy length less than 20 mm and F0-2 disease were associated with discordance.

The topic diffusion analysis technology based on diffusion map and multivariate linear regression has been studied.

In the multivariate analysis tumor stage IIB and III and the age under 30 years were adverse prognostic factors.

Methods: Multivariate complete incremental factorial analysis is used.

SYSTAT's suite of 13 distributions has been expanded to 33 discrete and continuous, univariate and multivariate distributions.

Use the multivariate regression to do the small-scale empirical research on the 50 valid samples.

Use of abacavir and increased MCV were key correlates in multivariate analyses.

The future approximate prices were forecasted by multivariate time series models based on historical approximate prices and loads.

The risk for influenza A (H5N1) infection was assessed by using adjusted odds ratios based on multivariate logistic regression analysis.

Eight main characters of 41 cultivars in "Xinluzao" series were analyzed by using multivariate statistics.

Normal albumin level was associated with longer survival time in multivariate analysis(P05).

There is also multivariate testing, which compares more than one variable.

Statin use was linked to a 36% reduction in all-cause mortality on multivariate analysis (p = 0. 003).

particularly if the likelihood is well approximated by the multivariate normal likelihood(1. 3. 11).

In doing so, I applied principles put forth by Edward Tufte 12 , a pioneer in the field of multivariate graphical design.

Read only among them coach the class was cost 1000 multivariate.

It had no effect on tumors with weak or absent expression of Cox-2 (multivariate relative risk, 0. 96, CI 0. 73 to 1. 26).

After multivariate analysis, only mean 15-day S100B value significantly predicted outcome (p 0005).

The R-Q mode factor analysis is a meaningful multivariate statistical method, but also an ignored method.

In recent years, with the development of economy and culture of multivariate, XiangShu jiancheng reintegrative shaming.

Singapore is red-blooded, multivariate 10 thousand kinds of atmosphere of culture.

The earliest I bought a box in her home, 500 multivariate, I say to want bill, result case arrived to do not have bill.

The multivariate-adjusted odds ratio was 0. 55 (95%CI: 0. 31-0. 97), adjusted for age, sex, blood pressure, static, and SU.

Multivariate Regression Modeling Study of the Total Sound Level of the Annular Combustor Noise of An Aircraft Engine

Among the findings in a multivariate adjusted analysis, the researchers reported (more than daily use versus never users)

Simultaneous Kinetic-spectrophotometric Determination of Three Organophosphorus Pesticides with Multivariate Calibration Methods

Transformation of Test Designing by Means of the Multivariate Generalizability Theory

long curing concrete; nondestructive examination; ultrasonic-rebound combined method; carbonation test; multivariate regression equation;

Study of a Multivariate Statistical 5-ALA-Based Discrimination Method for Fluorescence Spectra of Colonic Tissue of SD Rats

Univariate Generalizability Theory and Multivariate Generalizability Theory were both applied to scale development;

Theoretic Analysis and International Case of Multivariate Service of Construction Supervision

General admissibility for linear estimators of multivariate regression coefficients with respect to a restricted parameter set

Social transition; poverty-stricken students of universities; Subsidization system; multivariate management; principle policy;

Extension of the Uniformly Minimum Variance Unbiased Estimation of a Class of Multivariate Linear Model

Approximation of multivariate functions with a certain mixed smoothness by hyperbolic wavelet

The Application of Chinese Remainder Algorithm in the Acquisition of the Greatest Common Divisor from Multivariate Polynomial

Spatial multivariate structural analysis model and its application in environmental simulation and assessment

Applicationsof the Maximum Likelihood Estimation and the General Multivariate Regression in the Stability Analysis of Slope

Multivariate regression analysis of the clinical correlation between plasma viscosity and erythrocyte sedimentation

Method of combinatorial indicatrixes for three categories indicatrixes to determine multivariate medical reference range

Multivariate Regression Combined with Principal Components Analysis Used to Measure the Importance of Customer Satisfaction Indicators

Construction fo multivariate non-tensor product wavelets by means of direction integral

An application of multivariate progressive regression analysis to the quantitative structure-toxicity relationships for aniline compounds

Multivariate regression analysis of factors influencingsurvival after resection for ductal adenocarcinoma of the head of the pancreas

Application of Multivariate Statistical Analysis in Prediction of Storage Life of Materials

Comparison analysis of chromatographic fingerprints of rhizome curcuma ileum from different species using multivariate resolution methods

Admissibility of Special Linear Estimators of a Multivariate Geometrical Mean under Matrix Loss

Postoperative mortality and major complications after hepaticojejunostomy: a multivariate analysis of clinical factors

Admissibility for linear estimators of the common mean matrix parameter in a general multivariate linear model

A Study of Multivariate Linear Regression Analysis Model for Groundwater Quality Evaluation

Research on intelligent fitting method for multivariate nonlinear polynomials and its application

Multivariate Correlation Coefficient Decomposition and Its Application to Map the Coherent Sources in Human Brain

Multivariate regression analysis of postoperative complications of resection of hepatocellular carcinoma

Multivariate analysis of risk factors for clinically overt hemorrhagic cystitis after allogeneic hematopoietic stem cell transplantation

Introduction to a New Method for Thermal Analysis Kinetics-Multivariate Non-linear Regression and Its Application

The Univariate and Multivariate Analysis of the Factors Affecting the Survival Rate of Laryngeal Carcinoma

Admissibility for Linear Estimators in a Multivariate Linear Model with Respect to an Inequality Restriction

Multivariate Linear Regression Analysis of the Element Bonding Parameter Topological Index of the Lanthanides and Properties

A Multivariate Probability Prediction of Superficial Lymphadenopathy by High Frequency Color Doppler Ultrasonography

An Adaptive Wavelet Algorithm Used to Multivariate Calibration of Near Infrared Spectra

Investigation on hospitalization expenses for medical insurant inpatients and multivariate analysis of influencing factors

Multivariate Analysis of Predictors of Cerebral Vasospasm Occurrence After Aneurysmal Subarachnoid Hemorrhage

Indicator Kriging Study of Multivariate Information in Temporal-spatial Domain

Two Stage Estimation and Its Covariance Matrix in Multivariate Seemingly Unrelated Regression System

Evaluation of psychological state of collegian with multivariate multilevel model

A Multivariate Analysis in the Systemic Effects of Cardiopulmonary Bypass Temperature Under Intermittent Cold Crystalloid Cardioplegia

Cox multivariate regression analysis of prognostic factors for extrahepatic cholangiocarcinoma

Multivariate Statistical Process Monitoring and Control: Recent Developments and Applications to Chemical Industry

Comparative Study of Multivariate Statistical Control Chart

Multivariate Analysis of Factors Affecting Neonatal Neurobehavioral Development

Applications of Multivariate Calibration Methods to Simultaneous Determination of Multicomponent System in Electroanalytical Chemistry

Admissibility of linear estimation of multivariate linear model with respect to a restricted parameter set

Multivariate regression analysis of factors affecting the outbreak and prevalence of bacterial intestinal infectious diseases in schools

Study of Multivariate Data Analysis and Its Application

Multivariate analysis for prognostic predictors in endometrial adenosquamous carcinoma

Multivariate analysis of coronary dissection during percutaneous coronary intervention

Xishuangbanna Prefecture: Coordination Unity of Multivariate National Culture and Biological Variety

Application of modern multivariate processing technology in traditional Chinese medicine examination

Implement of Distributed Monitoring System Combining Multivariate Statistical Process Control

Considerations Multivariate Management Strategy of State-Owned Large Construction Enterprises

Reliability Analysis of Structured Interview: A Multivariate Generalizability Theory Approach

Identifying Information from Multivariate Exponentially Weighted Moving Average Control Chart

The Comparison of Microalbuminuria in Various Glucose Tolerance and Multivariate Regression Analysis on the Risk Factors of Microalbuminuria

A New Relative Efficiency of the Least Squares Estimator in Multivariate Linear Model

The Relation Between the Conceptions in Multivariate Differential and Integral Calculus

Comparison of Four Multivariate Calibration Methods in Simultaneous Determination of Air Toxic Organic Compounds with FTIR Spectroscopy

The multivariate discriminant analysis and its application in research of ecology and environment

Multivariate analysis of factors influencing prognosis of patients with hilar cholangiocarcinoma after resection

Multivariate analysis of influencing factors for malignant hypertension patients with idiopathic IgA nephropathy

Iterative Convergence of A Class of Multivariate Contractive-type Mappings

Integrated Performance Analysis Method of Multivariate Control System and Its Application

Multivariate Compound Extreme Value Distribution and Its Application

The Application of Multivariate Adaptive Regression Splines in Forecast of Total Number of Phytoplankton

Multivariate Intelligences and Education Fostering Students'Advantages

The Determination of the Multivariate Linear Regressive Model Influencing the Quantity of Specialized Brains

Multivariate Analysis of the Association Between Insulin Resistance-related Factors and Gallstone

Search for Diabetes syndrome-treatment and prescription-drugs regulation by the method of multivariate statistical analysis

Establishing multivariate investment sources to promote infrastructure construction of county city

Neural Network Approximation for Multivariate Periodic Functions: Estimates on Approximation Order

Homogeneous linear minimax estimation for regression coefficients in multivariate regression model

Multivariate Plug Removal Technique Used in High Pressure and Low Permeability Reservoir

Some Limit Properties of the Multivariate Function Sequences of Nonnegative Integer-Valued Random Variables

Standard Practice for Validation of Multivariate Process Infrared Spectrophotometers

Multivariate Analysis of the Determinant Factors Related to Syncope During Paroxysmal Supraventricular Tachycardia

Multivariate Analysis on Prognostic Factors After Curative Esophagectomy for Esophageal Carcinoma

Multivariate Linear Regression Analysis of the Element Bonding Parameter of the Lanthanides and Properties

Multivariate analysis of prognosis of patients with supraglottic cancer who received operation and post-operative radiotherapy

Multivariate analysis of recurrent predictive factors and strategy of preventing recurrence for nodular goiter after operation

Application of Multivariate Regression in Analyzing Factors of Schistosomiasis Japonica Transmission in Poyang Lake

Survival Rate and Multivariate Analysis of Prognostic Factors in Continuous Ambulatory Peritoneal Dialysis Patients

Multivariate analysis of early postoperative small bowel obstruction after radical cystectomy and urinary diversion

Approximation to the distribution of least distances estimate in multivariate linear models by randomly weighted bootstrap

Multivariate analysis on impacting of two weeks outpatient visit probability in Dongying city

Admissible linear estimators of regression coefficient in a multivariate linear model

Multivariate stepwise regression method use in correlation analysis of microstructure indices and strength of solidified soil

The Ratio of Error Propagation and its Application in Multivariate Calibration Titration

Application of Multivariate Statistical Analysis to Assessing Synthetically Polluting Status of Rivers

Standard Practices for Infrared, Multivariate, Quantitative Analysis

Multivariate analysis and environmental interpretation of desert bank forest plant communities in Tarim basin, Xinjiang

Application of Neural Network Associated with Multivariate Statistical Analysis on Fault Diagnosis of Power Transformer

Multivariate Analysis of the Short-term Outcome of Surgical Treatment of Ventricular Septal Defect in Infants and Children

A Multivariate Analysis on Risk Factors of Early Intrahepatic Recurrence Following Radical Resection of Primary Hepatic Carcinoma

A Main Ingredient Estimate of the Regression Parameters in a Multivariate Linear Model