ShipAccidents | R Documentation |

## Ship Accidents

### Description

Data on ship accidents.

### Usage

`data("ShipAccidents")`

### Format

A data frame containing 40 observations on 5 ship types in 4 vintages and 2 service periods.

- type
factor with levels

`"A"`

to`"E"`

for the different ship types,- construction
factor with levels

`"1960-64"`

,`"1965-69"`

,`"1970-74"`

,`"1975-79"`

for the periods of construction,- operation
factor with levels

`"1960-74"`

,`"1975-79"`

for the periods of operation,- service
aggregate months of service,

- incidents
number of damage incidents.

### Details

The data are from McCullagh and Nelder (1989, p. 205, Table 6.2) and were also used by Greene (2003, Ch. 21), see below.

There are five ships (observations 7, 15, 23, 31, 39) with an operation period
*before* the construction period, hence the variables `service`

and
`incidents`

are necessarily 0. An additional observation (34) has entries
representing *accidentally empty cells* (see McCullagh and Nelder, 1989, p. 205).

It is a bit unclear what exactly the above means. In any case, the models are fit
only to those observations with `service > 0`

.

### Source

Online complements to Greene (2003).

https://pages.stern.nyu.edu/~wgreene/Text/tables/tablelist5.htm

### References

Greene, W.H. (2003). *Econometric Analysis*, 5th edition. Upper Saddle River, NJ: Prentice Hall.

McCullagh, P. and Nelder, J.A. (1989). *Generalized Linear Models*, 2nd edition.
London: Chapman & Hall.

### See Also

`Greene2003`

### Examples

```
data("ShipAccidents")
sa <- subset(ShipAccidents, service > 0)
## Greene (2003), Table 21.20
## (see also McCullagh and Nelder, 1989, Table 6.3)
sa_full <- glm(incidents ~ type + construction + operation, family = poisson,
data = sa, offset = log(service))
summary(sa_full)
sa_notype <- glm(incidents ~ construction + operation, family = poisson,
data = sa, offset = log(service))
summary(sa_notype)
sa_noperiod <- glm(incidents ~ type + operation, family = poisson,
data = sa, offset = log(service))
summary(sa_noperiod)
## model comparison
anova(sa_full, sa_notype, test = "Chisq")
anova(sa_full, sa_noperiod, test = "Chisq")
## test for overdispersion
dispersiontest(sa_full)
dispersiontest(sa_full, trafo = 2)
```