Polypocephalus sp. (Cestoda : Lecanicephalidae) as a biological marker for banana prawns, Penaeus merguiensis de Man, in the Gulf of Carpentaria

1985 ◽  
Vol 36 (2) ◽  
pp. 291 ◽  
Author(s):  
L Owens
Keyword(s):  
Frequency Distribution ◽  
Negative Binomial Distribution ◽  
Binomial Distribution ◽  
Negative Binomial ◽  
Biological Marker ◽  
The South ◽  
Truncated Form ◽  
Commercial Catch ◽  
De Man ◽  
Penaeus Merguiensis

Parasites in banana prawns, P. merguiensis, from the Gulf of Carpentaria were surveyed. Only the lecanicephalid cestode Polypocephalus sp. seemed useful as a biological marker for banana prawns. Loads of Polypocephalus sp. were low and constant at salinities from 14 to 34. At higher salinities (38), both intensity and prevalence of infection rose markedly from 0.5 Polypocephalus sp. per prawn and 27% to 6.25 and 95%, respectively. The frequency distribution of Polypocephalus sp. was adequately described by a non-truncated form of the negative binomial distribution (n = 943, p = 35.4, k = 0.43) suggesting there were no parasite-induced mortalities. Loads of Polypocephalus sp. in prawns in the commercial catch from Albatross Bay were most similar to loads in prawns from the Mission River, which empties into Albatross Bay. Polypocephalus sp. loads in Penaeus merguiensis formed two other natural groupings, one in the south-east corner of the Gulf and one in the Cape Keerweer-Mitchell River area. There was no parasitological evidence for extensive migrations of adolescent P. merguiensis away from their nursery estuaries.

An estimate of the mortality in a population of Perca flavescens owing to the trematode Diplostomum adamsi

1977 ◽  
Vol 55 (2) ◽  
pp. 288-292 ◽  
Author(s):  
R. J. G. Lester
Keyword(s):  
Negative Binomial Distribution ◽  
Host Resistance ◽  
Binomial Distribution ◽  
Negative Binomial ◽  
Laboratory Data ◽  
Perca Flavescens ◽  
Lake Ontario ◽  
Infected Fish ◽  
Truncated Form ◽  
Actual Distribution

A truncated form of the negative binomial distribution was fitted to the frequency distribution of 5117 metacercariae of Diplostomum adamsi in 115 Perca flavescens taken from the Bay of Quinte, Lake Ontario. Comparison between the fitted curve and the actual distribution suggested that 78 heavily infected fish were missing from the sample. Field and laboratory data indicated that this was due to a higher mortality in the heavily infected fish, particularly during their first 2 years of life, rather than to inadequate sampling, host resistance, or parasite–parasite interaction.

Bopyrid parasite Epipenaeon ingens Nobili as a biological marker for the banana prawn, Penaeus merguiensis de Man

1983 ◽  
Vol 34 (3) ◽  
pp. 477 ◽  
Author(s):  
L Owens
Keyword(s):  
Strong Correlation ◽  
Biological Marker ◽  
The South ◽  
De Man ◽  
Penaeus Merguiensis

E. ingens was found on about 1% of banana prawns, P. merguiensis, from the south-eastem corner of the Gulf of Carpentaria, but was absent from prawns taken north of the Staaten River. Prawns evidently became infected when they were juveniles in the estuaries, as there was a strong correlation between parasite length and host length and no immature parasites were found on adult prawns. The bopyrid is apparently long-lived and thus makes a convenient biological marker for prawns coming from the south-eastem estuaries. Extensive migrations of adolescent banana prawns appeared unlikely as nursery rivers contributed prawns to adjacent offshore grounds.

Niche Sharing in Intertidal Mollusks and Decapods in Rocky Shore of Easter Island

2019 ◽  
Vol 53 (5) ◽  
pp. 417-422
Author(s):  
P. De los Ríos ◽  
E. Ibáñez Arancibia
Keyword(s):  
Spatial Distribution ◽  
Negative Binomial Distribution ◽  
Binomial Distribution ◽  
Rocky Shore ◽  
Negative Binomial ◽  
Null Model ◽  
Easter Island ◽  
Published Data ◽  
Distribution Analysis ◽  
Field Works

Abstract The coastal marine ecosystems in Easter Island have been poorly studied, and the main studies were isolated species records based on scientific expeditions. The aim of the present study is to apply a spatial distribution analysis and niche sharing null model in published data on intertidal marine gastropods and decapods in rocky shore in Easter Island based in field works in 2010, and published information from CIMAR cruiser in 2004. The field data revealed the presence of decapods Planes minutus (Linnaeus, 1758) and Leptograpsus variegatus (Fabricius, 1793), whereas it was observed the gastropods Nodilittorina pyramidalis pascua Rosewater, 1970 and Nerita morio (G. B. Sowerby I., 1833). The available information revealed the presence of more species in data collected in 2004 in comparison to data collected in 2010, with one species markedly dominant in comparison to the other species. The spatial distribution of species reported in field works revealed that P. minutus and N. morio have aggregated pattern and negative binomial distribution, L. variegatus had uniform pattern with binomial distribution, and finally N. pyramidalis pascua, in spite of aggregated distribution pattern, had not negative binomial distribution. Finally, the results of null model revealed that the species reported did not share ecological niche due to competition absence. The results would agree with other similar information about littoral and sub-littoral fauna for Easter Island.

ANALISIS RISIKO OPERASIONAL MENGGUNAKAN PENDEKATAN DISTRIBUSI KERUGIAN DENGAN METODE AGREGAT

2011 ◽  
Vol 10 (2) ◽  
pp. 1
Author(s):  
Y. ARBI ◽  
R. BUDIARTI ◽  
I G. P. PURNABA
Keyword(s):  
Negative Binomial Distribution ◽  
Binomial Distribution ◽  
Negative Binomial ◽  
Financial Institution ◽  
Expected Value ◽  
Insurance Companies ◽  
Limited Data ◽  
Loss Distribution Approach ◽  
Potential Loss ◽  
The Impact

Operational risk is defined as the risk of loss resulting from inadequate or failed internal processes or external problems. Insurance companies as financial institution that also faced at risk. Recording of operating losses in insurance companies, were not properly conducted so that the impact on the limited data for operational losses. In this work, the data of operational loss observed from the payment of the claim. In general, the number of insurance claims can be modelled using the Poisson distribution, where the expected value of the claims is similar with variance, while the negative binomial distribution, the expected value was bound to be less than the variance.Analysis tools are used in the measurement of the potential loss is the loss distribution approach with the aggregate method. In the aggregate method, loss data grouped in a frequency distribution and severity distribution. After doing 10.000 times simulation are resulted total loss of claim value, which is total from individual claim every simulation. Then from the result was set the value of potential loss (OpVar) at a certain level confidence.

scholarly journals On the Accuracy of the Generalized Gamma Approximation to Generalized Negative Binomial Random Sums

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1571
Author(s):  
Irina Shevtsova ◽  
Mikhail Tselishchev
Keyword(s):  
Negative Binomial Distribution ◽  
Binomial Distribution ◽  
Law Of Large Numbers ◽  
Negative Binomial ◽  
Infinite Divisibility ◽  
Random Sums ◽  
Generalized Gamma ◽  
Second Moments ◽  
Large Numbers ◽  
Generalized Negative Binomial Distribution

We investigate the proximity in terms of zeta-structured metrics of generalized negative binomial random sums to generalized gamma distribution with the corresponding parameters, extending thus the zeta-structured estimates of the rate of convergence in the Rényi theorem. In particular, we derive upper bounds for the Kantorovich and the Kolmogorov metrics in the law of large numbers for negative binomial random sums of i.i.d. random variables with nonzero first moments and finite second moments. Our method is based on the representation of the generalized negative binomial distribution with the shape and exponent power parameters no greater than one as a mixed geometric law and the infinite divisibility of the negative binomial distribution.

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