Household Water Filter Use Characterization in Rural Rwanda: Signal Interpretation, Development and Validation

@inproceedings{Snchez2016HouseholdWF,
  title={Household Water Filter Use Characterization in Rural Rwanda: Signal Interpretation, Development and Validation},
  author={T{\'e}llez S{\'a}nchez and Sarita Lucia},
  year={2016}
}
This Thesis is brought to you for free and open access. It has been accepted for inclusion in Dissertations and Theses by an authorized administrator of PDXScholar. For more information, please contact pdxscholar@pdx.edu. Recommended Citation Tellez Sanchez, Sarita Lucia, "Household Water Filter Use Characterization in Rural Rwanda: Signal Interpretation, Development and Validation" (2016). Dissertations and Theses. Paper 3026. 

References

SHOWING 1-10 OF 14 REFERENCES

Designing and Piloting a Program to Provide Water Filters and Improved Cookstoves in Rwanda

TLDR
High uptake and sustained adoption of a water filter and improved cookstove was measured over a five-month period with indications of continued comparable adoption 16 months after the intervention and the design attributes applied by the implementers may be sufficient in a longer term.

Remotely Accessible Instrumented Monitoring of Global Development Programs: Technology Development and Validation

Many global development agencies self-report their project outcomes, often relying on subjective data that is collected sporadically and communicated months later. These reports often highlight

A temperature compensation method for CDOM fluorescence sensors in freshwater

The effect of temperature on CDOM fluorescence was investigated in dystrophic freshwaters of Wisconsin and in aqueous standards. Laboratory experiments with two commercial in situ fluorometers showed

Temperature dataloggers as stove use monitors (SUMs): Field methods and signal analysis.

Sensors for MERL: What Works? What Does Not

  • What Have We Learned?" ICTworks,
  • 2015

Precise pressure sensor temperature compensation algorithms

Regression in R. UCLA Department of Statistics Consulting Center

    Classification Accuracy Is Not Enough: More Performance Measures You Can Use

    • Machinelearningmastery. Jason Brownlee. Web

    LifeStraw Family 2.0 by Vestergaard

      Interpreting Residual Plots to Improve Your Regression