X-Weight Pro Calibration

Enterprise-grade sample weighting with our proprietary calibration solution

Input Parameters

1. Upload Sample Data

Drag & drop your .DAT file here or click to browse

CSV, SPSS, or X-Weight DAT format
2. Demographic Constraints

Upload your .RES constraints file or use presets

3. Calibration Method
Our proprietary approach is designed for robust, enterprise-grade calibration.
4. Advanced Settings

Performance Metrics

0.42s
Processing Time
3.2x faster than industry average
94%
Effective Sample
Industry avg: 82%
0.08
Weight Stability (σ)
Lower is better
5
Convergence Steps
Typical: 3-5 steps

Initial vs. Final Weights Dual Axis

Weight Change Distribution Δ Analysis

Weight Efficiency Metrics

Adjustment Factor Distribution

Factor Correlation Analysis

Demographic Alignment

Algorithm Convergence

Iteration History

1
Initial Setup
Parameters validated, initial weights calculated
2
Linear Phase
Primary constraints applied (R² = 0.89)
3
Multiplicative Adjustment
Fine-tuning weights (Δ = 0.42)
4
Boundary Enforcement
Clipping outliers (3.2% of weights adjusted)
5
Final Optimization
Variance minimization (σ reduced by 28%)

Methodology Comparison Benchmark

Effective Sample Size

Convergence Speed

MethodSEFFTimeStabilityConstraintsOutliersRating
X-Weight Hybrid94%0.42s0.08100%3.2%Best
Linear Regression82%0.38s0.1492%8.7%Good
Multiplicative Raking79%1.24s0.2188%12.3%Fair
Entropy Balancing85%2.15s0.1295%6.5%Good
Post-Stratification76%0.56s0.1883%15.1%Limited