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NREL · Oct 17, 2024 · e916cd3 · e916cd3
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diff --git a/docs/TrendAnalysis_example.ipynb b/docs/TrendAnalysis_example.ipynb
diff --git a/docs/degradation_and_soiling_example.ipynb b/docs/degradation_and_soiling_example.ipynb
diff --git a/docs/sphinx/source/index.rst b/docs/sphinx/source/index.rst
@@ -79,7 +79,7 @@ Soiling
 
 RdTools provides two methods for soiling analysis. The first is the
 stochastic rate and recovery (SRR) method (Deceglie 2018). This method works
-well when soiling patternsfollow a "sawtooth" pattern, a linear decline followed
+well when soiling patterns follow a "sawtooth" pattern, a linear decline followed
 by a sharp recovery associated with natural or manual cleaning.
 :py:func:`.soiling.soiling_srr` performs the calculation and returns the P50
 insolation-weighted soiling ratio, confidence interval, and additional

diff --git a/rdtools/bootstrap.py b/rdtools/bootstrap.py
@@ -37,7 +37,7 @@ def _make_time_series_bootstrap_samples(
         either 'multiplicative' or 'additive'
     bootstrap_seed: {Generator, RandomState, int}, default None
         Seed passed to CircularBlockBootstrap use to ensure reproducable results.
-        If an int, passes the value to value to ``np.random.default_rng``.
+        If an int, passes the value to ``np.random.default_rng``.
         If None (default), a fresh Generator is constructed with system-provided entropy.
 
     Returns