Kayla Martin
September 18, 2015
Null Hypothesis Testing: Problems, Prevalence, and an Alternative begins
by stating that the review of two popular journals, Ecology and the Journal of
Wildlife Management, have recently been using null hypothesis testing t
Kayla Martin
October 21, 2015
Correlation among independent variables
Age
Weight
Siblings
Age
1.0000
0.1801
-0.1053
Weight
0.1801
1.0000
-0.1225
Siblings
-0.1053
-0.1225
1.0000
All three independent variables (age, weight, and siblings) could be included
Kayla Martin
November 4, 2015
Models
S(t)
The only parameter to model is the survival parameter, because we assume that all individuals are
detected at each occasion, conditional on being alive and in the sample. In this model, we assume
that survival is
Kayla Martin
October 23, 2015
Methods
Using scraps of paper as animals in a Ziploc bag as our population, we drew an arbitrary number of
pieces out for our first capture, uniquely labeled them using alphabet letters, and them placed them
back into the bag
Kayla Martin
November 23, 2015
1.
2.
3.
4.
5.
6.
7.
8.
Cormack-Jolly-Seber model
Occupancy model
Robust Design model
Band Recovery model
Density with Telemetry model
Logistic Regression model
Closed Captures model
Known Fates model
Model Selection
Model
1
Kayla Martin
August 31, 2015
The Methods of Multiple Working Hypotheses emphasizes how past research has
influenced present research and caused many biases by working off of what others assumed to be
true many years before. A ruling theory is one in which
Kayla Martin
September 4, 2015
1.
IV: Volume of food per hectare
DV: Survival probability of juvenile and adult deer
SD: Look at and mark the animals of deer populations from various low-density
residential developments during several winters and again wi
Kayla Martin
October 16, 2015
1.
2.
3.
Define research question
Define objectives
Define models (including parameters, variables, functional relationships)
to hypotheses
Collect data
Fit models
Model selection and multi-model inference
Evaluate models pre
Kayla Martin
November 16, 2015
Models
p(.)psi(patch size)
p(.)psi(patch size + patch size2)
p(.)psi(habitat)
p(.)psi(patch size + habitat)
p(.)psi(habitat*patch size)
Model Selection Table
The data fit best with the patch size + habitat model, having an A