Full Open Population Capture-Recapture Models with Individual Covariates

Traditional analyses of capture-recapture data are based on likelihood functions that explicitly integrate out all missing data. We use a complete data likelihood (CDL) to show how a wide range of capture-recapture models can be easily fitted using readily available software JAGS/BUGS even when there are individual-specific time-varying covariates. The models we describe extend those that condition on first capture to include abundance parameters, or parameters related to abundance, such as population size, birth rates or lifetime. The use of a CDL means that any missing data, including uncertain individual covariates, can be included in models without the need for customized likelihood functions. This approach also facilitates modeling processes of demographic interest rather than the complexities caused by non-ignorable missing data. We illustrate using two examples, (i) open population modeling in the presence of a censored time-varying individual covariate in a full robust-design, and (ii) full open population multi-state modeling in the presence of a partially observed categorical variable

Using edit distance to analyse errors in a natural language to logic translation corpus

We have assembled a large corpus of student submissions to an automatic grading system, where the subject matter involves the translation of natural language sentences into propositional logic. Of the 2.3 million translation instances in the corpus, 286,000 (approximately 12%) are categorized as being in error. We want to understand the nature of the errors that students make, so that we can develop tools and supporting infrastructure that help students with the problems that these errors represent. With this aim in mind, this paper describes an analysis of a significant proportion of the data, using edit distance between incorrect answers and their corresponding correct solutions, and the associated edit sequences, as a means of organising the data and detecting categories of errors. We demonstrate that a large proportion of errors can be accounted for by means of a small number of relatively simple error types, and that the method draws attention to interesting phenomena in the data set

Molecular simulation of the phase behavior of noble gases using accurate two-body and three-body intermolecular potentials

Gibbs ensemble Monte Carlo simulations are reported for the vapor- liquid phase coexistence of argon, krypton, and xenon. The calculations employ accurate two-body potentials in addition to contributions from three-body dispersion interactions resulting from third-order triple-dipole, dipole-dipole-quadrupole, dipole- quadrupole-quadrupole, quadrupole-quadrupole-quadrupole, and fourth- order triple- dipole terms. It is shown that vapor-liquid equilibria are affected substantially by three-body interactions. The addition of three-body interactions results in good overall agreement of theory with experimental data. In particular, the subcritical liquid- phase densities are predicted accurately. (C) 1999 American Institute of Physics. S0021- 9606(99)50728-9

Owners, traders and providers of capital: the multiple faces of institutional investors

We draw on a series of in-depth interviews with senior fund managers and senior company executives to explore how different and often-contradictory conceptualizations of institutional investors, their role in the corporate governance process, and their interactions with corporate management, are reflected in the attitudes and perceptions of the actors concerned. We find that while conceptualizations in terms of agency and ownership dominate both academic and popular discourses, the actors conceptualize institutional investors more as financial traders and, from the management perspective, politically powerful resource providers.corporate governance, institutional investors, power, resource dependence,shareholder value.

The corporate-fund manager interface: objectives, information and valuation

Fund managers are the primary investment decision-makers in the stock market, and corporate executives are their primary sources of information. Meetings between the two are therefore central to stock market investment decisions but are surprisingly under-researched. There is little in the academic literature concerning their aims, content and outcomes. We report findings from interview research conducted with chief financial officers (CFOs) and investor relations managers from FTSE 100 companies and with chief investment officers (CIOs) and fund managers (FMs) from large institutional investors. Of particular interest we note that FMs place great reliance on discounted cash flow valuation models (despite informational asymmetry in favour of CFOs). This leads the former to seek to control encounters with the latter and to place great store on the clarity and consistency of corporate messages, ultimately relying on them for purposes other than estimating fundamental value. We consider some of the consequences of this usage.valuation, institutional shareholders, investor relations

Pointing the Finger at Leadership

The word leadership is often used incorrectly to refer to management, supervision, command, and statesmanship. Scholars rarely, if ever, make any distinction among these four different constructs. Most theories of leadership are really theories of supervision, and the words leadership and supervision are used interchangeably. This paper attempts to distinguish between the two