Define the family of densities:

$\qquad p(\phi;\theta) = \big(f(\cos(\phi-\theta)) - f(\cos(\phi+\theta))\big) \frac{\sin(2\phi)}{\sin(2\theta)}, \quad 0 \le \phi,\theta\le \pi/2$

where $f(x)=g(x^2)$ with $g$ increasing, and convex or concave, on $[0,\infty)$. (Interestingly these densities indeed have the same measure for all $\theta$ whenever $g$ is concave or convex, which can be shown by an integral representation.)

Show that $p(\phi;\theta)$ has a monotone likelihood ratio (decreasing or increasing depending on the concavity or convexity of $g$). I.e., for $\theta_1 < \theta_2$:

$\qquad h(\phi) = \Large \frac{f(\cos(\phi-\theta_2)) - f(\cos(\phi+\theta_2))}{f(\cos(\phi-\theta_1)) - f(\cos(\phi+\theta_1))}$

is monotonic on $[0,\pi/2]$.