update

ex23-24.Rmd

@@ -14,7 +14,7 @@ where
 - $N$ is the number of spacial units indexed by $i$ and $j$
 - $x$ is the variable of interest
 - $\overline{x}$ is the mean of $x$
-$w_{ij} are the elements of a matrix of spatial weights that denote adjacency
+- $w_{ij}$ are the elements of a matrix of spatial weights that denote adjacency
 - $W = \sum_{i=1}^N \sum_{j=1}^N w_{ij}$ is the sum of all $w_{ij}$
 
 It may be considered time series stationarity-agnostic as the calculation does not make assumptions about temporal behavior of the underlying data.

lec01.md

@@ -26,4 +26,4 @@ $$
 $$
 \Phi^j_C = \rho^j + c(\delta t - \delta t^j) + Tr^j + \lambda^j_C + B^j_C + m^j_C +\epsilon^j_C
 $$
-Where $R^j$ is the unsmoothed pseudorange measurment for the $j$th satellite and $\Phi^j$ is the corresponding carrier measurement.
+Where $R^j$ is the unsmoothed pseudorange measurment for the $j$-th satellite and $\Phi^j$ is the corresponding carrier measurement.

lec02.md

@@ -5,6 +5,7 @@ The MSE is defined almost the same as variance, given by
 $$
 \frac{\sum{(x-\overline{x})^2}}{n}
 $$
+
 # Activity 3
 Prove that the following holds for Gamma distribution:
 $$