Restrapping example sentences

"Restrapping" Example Sentences

1. The scientist meticulously documented the restrapping procedure for the experiment.
2. Restrapping the data yielded significantly different results.
3. His team spent weeks perfecting the restrapping algorithm.
4. Improper restrapping can lead to biased conclusions.
5. The software facilitated efficient restrapping analysis.
6. We observed a marked improvement after restrapping the samples.
7. Restrapping is a crucial step in validating our findings.
8. They questioned the validity of the study due to flawed restrapping.
9. Advanced statistical methods, including restrapping, were employed.
10. The accuracy of the model increased considerably following restrapping.
11. Without restrapping, the results would be unreliable.
12. This technique utilizes restrapping to assess model robustness.
13. Restrapping provided a more nuanced understanding of the data.
14. The research paper detailed the benefits of restrapping in various contexts.
15. Our analysis involved extensive restrapping to confirm the findings.
16. Efficient restrapping techniques are essential for large datasets.
17. The new algorithm speeds up the process of restrapping.
18. Restrapping allowed us to quantify the uncertainty in our predictions.
19. He is an expert in statistical methods, particularly restrapping.
20. Repeated restrapping strengthened the reliability of the study.
21. The lecture focused on the principles of restrapping and its applications.
22. Careful consideration of restrapping parameters is crucial.
23. Through restrapping, we obtained more stable estimates.
24. This software package includes a module for restrapping.
25. The limitations of restrapping should be acknowledged.
26. Proper restrapping is essential for robust statistical analysis.
27. They developed a novel approach to restrapping for time-series data.
28. Restrapping improved the precision of our measurements.
29. The seminar covered various restrapping methods and their applications.
30. Further research is needed to optimize restrapping for this specific problem.
31. Restrapping is a powerful technique for uncertainty quantification.
32. The validity of the results hinges on the correct implementation of restrapping.
33. Restrapping, when correctly applied, can enhance reliability.
34. With restrapping, we were able to overcome the limitations of small sample size.
35. The article presented a comparative study of different restrapping techniques.
36. We conducted a sensitivity analysis to assess the impact of restrapping on our results.
37. Implementing restrapping increased the computational cost of the analysis.
38. Understanding restrapping is key to interpreting the results correctly.
39. This is a valuable tool for data analysis that includes advanced techniques like restrapping.
40. Restrapping techniques were used to estimate confidence intervals.
41. The core of her dissertation focused on improving restrapping methodologies.
42. The software's restrapping functionality is particularly user-friendly.
43. The use of restrapping in this context is somewhat controversial.
44. It is vital to carefully choose the appropriate restrapping method for the data.
45. His innovative work on restrapping has garnered significant attention.
46. Despite its limitations, restrapping remains a valuable statistical tool.
47. By employing restrapping, we significantly reduced the margin of error.
48. Advanced knowledge of restrapping is required for this analysis.
49. The conference featured several presentations on restrapping and its advancements.
50. Restrapping, though computationally intensive, offers significant advantages.