James Hines
Jim Hines is a computer scientist, working with USGS and non-agency biologists developing methods and computer software for estimation of ecological parameters. He also maintains a web-server used to communicate results of the North American Breeding Bird Survey as well as software written by current and former EESC scientists.
Jim Hines started with the USFWS in 1977 as a part-time computer clerk. After obtaining a BS in Math, he became a full-time computer programmer, then computer specialist and computer scientist. He is co-author on 2 books,
Professional Experience
1977-present USFWS, NBS, USGS - Computer clerk, programmer, specialist, scientist.
Education and Certifications
Hon Dsc. University of Florda, 2023
B.S. University of Maryland, Mathematics, 1979.
Honors and Awards
2016 - Biometrics Working Group Special Recognition Award
2015 - U.S. Geological Survey Distinguished Service Award
2012 - U.S. Geological Survey Meritorious Service Award
2012 - The Wildlife Society's Wildlife Publication Award for Book
1991 - The Wildlife Society's Wildlife Publication Award for Monograph
Science and Products
Capture-recapture estimation of prebreeding survival rate for birds exhibiting delayed maturation
Statistical inference for capture-recapture experiments
Response to Dufour and Ankney
American woodcock winter distribution and fidelity to wintering areas
Flexible models for analysing ring recovery data to estimate survival rates
Stability and bias of classification rates in biological applications of discriminant analysis
Postfledging survival of European starlings
A computer program for sample size computations for banding studies
The relationship between body mass and annual survival in American black ducks
Testing for differences among survival or recovery rates using program CONTRAST
Procedures for the Analysis of Band-recovery Data and User Instructions for Program MULT
Program CONTRAST--A general program for the analysis of several survival or recovery rate estimates
Science and Products
- Science
- Data
- Publications
Filter Total Items: 223
Capture-recapture estimation of prebreeding survival rate for birds exhibiting delayed maturation
Many species of seabirds exhibit delayed maturity and do not return to the natal colony to breed for several years after fledging. Capture-recapture studies are frequently conducted at such breeding colonies and often include marking of young birds. However, because of the absence of these birds from the natal colony during the first few years after banding, the data do not fit neatly into existAuthorsJ. D. Nichols, J. A. Spendelow, J. E. HinesStatistical inference for capture-recapture experiments
This monograph presents a detailed, practical exposition on the design, analysis, and interpretation of capture-recapture studies. The Lincoln-Petersen model (Chapter 2) and the closed population models (Chapter 3) are presented only briefly because these models have been covered in detail elsewhere. The Jolly- Seber open population model, which is central to the monograph, is covered in detailAuthorsKenneth H. Pollock, James D. Nichols, Cavell Brownie, James E. HinesResponse to Dufour and Ankney
No abstract available.AuthorsD.G. Krementz, R. J. Barker, W. A. Link, J. E. Hines, P.O. Corr, R.B. OwenAmerican woodcock winter distribution and fidelity to wintering areas
We examined winter distribution and fidelity to wintering areas for the American Woodcock (Scolopax minor), which exhibits reversed, sexual size dimorphism. Band-recovery data revealed no difference in winter distributions of different age/sex classes for woodcock from the same breeding ares. Similarly, band recoveries from woodcock banded on wintering grounds revealed no difference in fidelity toAuthorsD.R. Diefenbach, E.L. Derleth, W. Matthew Vander Haegen, J. D. Nichols, J. E. HinesFlexible models for analysing ring recovery data to estimate survival rates
We describe MULT, a flexible procedure for analysing ring recovery data. The procedure starts with parametric structures similar to, but more general than, those described by Brownie et al. (1985). Particular models, including those in Brownie et al. (1965), can be obtained by imposing constraints on the general parametric structures. Examples of models that are available in MULT include: analysisAuthorsM.J. Conroy, J. E. HinesStability and bias of classification rates in biological applications of discriminant analysis
We assessed the sampling stability of classification rates in discriminant analysis by using a factorial design with factors for multivariate dimensionality, dispersion structure, configuration of group means, and sample size. A total of 32,400 discriminant analyses were conducted, based on data from simulated populations with appropriate underlying statistical distributions. Simulation results inAuthorsB.K. Williams, K. Titus, J. E. HinesPostfledging survival of European starlings
We tested the hypotheses that mass at fledging and fledge date within the breeding season affect postfledging survival in European Starlings (Sturnus vulgaris). Nestlings were weighed on day 18 after hatch and tagged with individually identifiable patagial tags. Fledge date was recorded. Marked fledglings were resighted during weekly two—day intensive observation periods for >9 wk postfledging. PoAuthorsDavid G. Krementz, James D. Nichols, James E. HinesA computer program for sample size computations for banding studies
Sample sizes necessary for estimating survival rates of banded birds, adults and young, are derived based on specified levels of precision. The banding study can be new or ongoing. The desired coefficient of variation (CV) for annual survival estimates, the CV for mean annual survival estimates, and the length of the study must be specified to compute sample sizes. A computer program is availabAuthorsK.R. Wilson, J. D. Nichols, J. E. HinesThe relationship between body mass and annual survival in American black ducks
American black ducks, Anas rubripes, were marked and recaptured along mid-coastal Maine between the winters of 1979 and 1985 to examine the relationship between body mass and annual survival. Binary regression analyses indicated that late-winter body mass was not positively related to annual survival for any age-sex class.AuthorsD.G. Krementz, J. E. Hines, P.O. Corr, R.B. OwenTesting for differences among survival or recovery rates using program CONTRAST
A computer program was developed to implement the methods described by Sauer and Williams for multiple comparisons of survival or recovery ratesAuthorsJ.R. Sauer, J. E. HinesProcedures for the Analysis of Band-recovery Data and User Instructions for Program MULT
We briefly review methods for inference from band-recovery data and introduce a new, flexible procedure (MULT) for analysis of data from bird-banding studies. We compare our computing method to program SURIV and discuss the relative advanatages of each. We present several basic model structures that can be analyzed using program MULT and for each model structure describe estimation and hypothesiAuthorsM.J. Conroy, J. E. Hines, B.K. WilliamsProgram CONTRAST--A general program for the analysis of several survival or recovery rate estimates
This manual describes the use of program CONTRAST, which implements a generalized procedure for the comparison of several rate estimates. This method can be used to test both simple and composite hypotheses about rate estimates, and we discuss its application to multiple comparisons of survival rate estimates. Several examples of the use of program CONTRAST are presented. Program CONTRAST willAuthorsJ. E. Hines, J.R. Sauer - Web Tools
- Software
Filter Total Items: 35
- News