Update: docstrings

Author: heptaflar

uncertaintyx/fit/randomsampling.py

@@ -39,8 +39,8 @@ def __init__(
         Creates a new bootstrap instance.
 
         Concrete implementations of :class:`Fitting` supplied as
-        argument may accept keyword-only parameters for propagation
-        of standard uncertainties::
+        argument may accept keyword-only parameters for standard
+        uncertainties:
 
             fit(f, x, y, *, u: np.ndarray, **kwargs)
             fit(f, x, y, *, ux: np.ndarray, **kwargs)
@@ -167,7 +167,7 @@ def __init__(
 
         Concrete implementations of :class:`Fitting` supplied as
         argument must accept `ux` and `uy` keyword-only parameters
-        for uncertainty propagation::
+        for standard uncertainties:
 
             fit(f, x, y, *, ux: np.ndarray, uy: np.ndarray, **kwargs)
 

uncertaintyx/tyx.py

@@ -500,9 +500,8 @@ def fit(self, f: M, x: np.ndarray, y: np.ndarray, **kwargs) -> Result:
         Fits the parameters of a model function to :math:`M`
         samples :math:`(x_i, y_i)` of data.
 
-        Concrete implementations of :class:`Fitting` supplied as
-        argument may accept keyword-only parameters for propagation
-        of standard uncertainties::
+        Concrete implementations of :class:`Fitting` may accept
+        keyword-only parameters for standard uncertainties:
 
             fit(f, x, y, *, u: np.ndarray, **kwargs)
             fit(f, x, y, *, ux: np.ndarray, **kwargs)