Brenda E. Ballachey Mark S. Udevitz 1998 <p><span>We developed a general statistical model that provides a comprehensive framework for inference about survival rates based on standing age-structure and ages-at-death data. Previously available estimators are maximum likelihood under the general model, but they use only 1 type of data and require the assumption of a stable age structure and a known population growth rate. We used the general model to derive new survival rate estimators that use both types of data and require only the assumption of a stable age structure or a known population growth rate. Our likelihood-based approach allows use of standard model-selection procedures to test hypotheses about age-structure stability, population growth rates, and age-related patterns in survival. We used this approach to estimate survival rates for female sea otters (<i>Enhydra lutris</i>) in Prince William Sound, Alaska.</span></p> application/pdf 10.2307/3802355 en Wiley Estimating survival rates with age-structure data article