scholarly journals BIVARIATE COMPOUND DISTRIBUTION BASED ON POISSON MAXIMA OF GAMMA VARIATES AND RELATED APPLICATIONS

2021 ◽  
Vol 34 (5) ◽  
Author(s):  
R.J. Abdelghani ◽  
M.A. Meraou ◽  
M.Z. Raqab
Keyword(s):  
Compound Distribution

Nitrogen Compound Distribution in Refined Middle Distillate Fuels

2009 ◽  
Vol 27 (18) ◽  
pp. 2192-2199 ◽  
Author(s):  
A. J. Pasquale ◽  
J. M. Bauserman ◽  
G. W. Mushrush
Keyword(s):  
Nitrogen Compound ◽  
Middle Distillate ◽  
Compound Distribution ◽  
Middle Distillate Fuels

Compound Poisson—Gamma Regression Models for Dollar Outcomes That Are Sometimes Zero

2012 ◽  
Vol 20 (3) ◽  
pp. 387-399 ◽  
Author(s):  
Benjamin E. Lauderdale
Keyword(s):  
Regression Models ◽  
High Speed ◽  
Ad Hoc ◽  
Simulated Data ◽  
The United States ◽  
High Speed Rail ◽  
Compound Poisson ◽  
Compound Distribution ◽  
Tweedie Distribution ◽  
United States Federal Government

Political scientists often study dollar-denominated outcomes that are zero for some observations. These zeros can arise because the data-generating process is granular: The observed outcome results from aggregation of a small number of discrete projects or grants, each of varying dollar size. This article describes the use of a compound distribution in which each observed outcome is the sum of a Poisson—distributed number of gamma distributed quantities, a special case of the Tweedie distribution. Regression models based on this distribution estimate loglinear marginal effects without either the ad hoc treatment of zeros necessary to use a log-dependent variable regression or the change in quantity of interest necessary to use a tobit or selection model. The compound Poisson—gamma regression is compared with commonly applied approaches in an application to data on high-speed rail grants from the United States federal government to the states, and against simulated data from several data-generating processes.

scholarly journals Conversion of Oil Palm Empty Fruit Bunch (EFB) Biomass to Bio-Oil and Jet Bio-Fuel by Catalytic Fast-Pyrolysis Process

2021 ◽  
Vol 14 ◽  
pp. 1-11
Author(s):  
Haryanti Yahaya ◽  
Rozzeta Dollah ◽  
Norsahika Mohd Basir ◽  
Rohit Karnik ◽  
Halimaton Hamdan
Keyword(s):  
Oil Palm ◽  
Zeolite Y ◽  
Fast Pyrolysis ◽  
Batch Process ◽  
Zeolite Catalysts ◽  
Catalyst Loading ◽  
Empty Fruit Bunch ◽  
Catalytic Fast Pyrolysis ◽  
Compound Distribution ◽  
Bio Oil

Oil palm empty fruit bunch (EFB) biomass is a potential source of renewable energy. Catalytic fast-pyrolysis batch process was initially performed to convert oil palm EFB into bio-oil, followed by its refinement to jet bio-fuel. Crystalline zeolites A and Y; synthesised from rice husk ash (RHA), were applied as heterogeneous catalysts. The catalytic conversion of oil palm EFB to bio-oil was conducted at a temperature range of 320-400°C with zeolite A catalyst loadings of 0.6 - 3.0 wt%. The zeolite catalysts were characterised by XRD, FTIR and FESEM. The bio-oil and jet bio-fuel products were analysed using GC-MS and FTIR. The batch fast-pyrolysis reaction was optimised at 400°C with a catalyst loading of 1.0 wt%, produced 42.7 wt% yields of liquid bio-oil, 35.4 wt% char and 21.9 wt% gaseous products. Analysis by GCMS indicates the compound distribution of the liquid bio-oil are as follows: hydrocarbons (23%), phenols (61%), carboxylic acids (0.7%), ketones (2.7%), FAME (7.7%) and alcohols (0.8%). Further refinement of the liquid bio-oil by catalytic hydrocracking over zeolite Y produced jet bio-fuel, which contains 63% hydrocarbon compounds (C8-C18) and 16% of phenolic compounds.

Integral equations for compound distribution functions

1996 ◽  
Vol 33 (2) ◽  
pp. 388-399 ◽  
Author(s):  
Christian Max Møller
Keyword(s):  
Point Processes ◽  
Marked Point ◽  
Building Blocks ◽  
Distribution Functions ◽  
Jump Processes ◽  
Marked Point Processes ◽  
Martingale Theory ◽  
Compound Distribution ◽  
Change Of Variable ◽  
Fixed Period

The aim of the present paper is to introduce some techniques, based on the change of variable formula for processes of finite variation, for establishing (integro) differential equations for evaluating the distribution of jump processes for a fixed period of time. This is of interest in insurance mathematics for evaluating the distribution of the total amount of claims occurred over some period of time, and attention will be given to such issues. Firstly we will study some techniques when the process has independent increments, and then a more refined martingale technique is discussed. The building blocks are delivered by the theory of marked point processes and associated martingale theory. A simple numerical example is given.

scholarly journals Behavior of platinum(iv) complexes in models of tumor hypoxia: cytotoxicity, compound distribution and accumulation

Metallomics ◽  
2016 ◽  
Vol 8 (4) ◽  
pp. 422-433 ◽  
Author(s):  
Ekaterina Schreiber-Brynzak ◽  
Verena Pichler ◽  
Petra Heffeter ◽  
Buck Hanson ◽  
Sarah Theiner ◽  
...  
Keyword(s):  
Tumor Hypoxia ◽  
Compound Distribution

Bioreductive platinum(iv) prodrugs target tumor hypoxia.

A New Discrete Compound Distribution with Application

2017 ◽  
Vol 6 (1) ◽  
pp. 233-241
Author(s):  
Zahoor Ahmad ◽  
Adil Rashid ◽  
T. R. Jan
Keyword(s):  
Compound Distribution

Correlation of Feedstock and Bio-oil Compound Distribution

2017 ◽  
Vol 31 (7) ◽  
pp. 7093-7100 ◽  
Author(s):  
Jian Li ◽  
Yingquan Chen ◽  
Haiping Yang ◽  
Danchen Zhu ◽  
Xu Chen ◽  
...  
Keyword(s):  
Compound Distribution ◽  
Bio Oil

DEFINITION OF FABRIC DISTRIBUTIONS TO CHARACTERIZE THE REARRANGEMENT OF SOIL PARTICLES IN THE TURBIC CRYOSOLS

1981 ◽  
Vol 61 (1) ◽  
pp. 29-38 ◽  
Author(s):  
C. A. FOX ◽  
R. PROTZ
Keyword(s):  
Coastal Plain ◽  
Matrix Material ◽  
Developmental History ◽  
Soil Particles ◽  
Compound Distribution ◽  
Permafrost Soils ◽  
History Of ◽  
Vertically Aligned ◽  
Definition Of ◽  
Cryogenic Processes

Micromorphological study of Turbic Cryosols (permafrost soils) from the MacKenzie River Valley and Yukon Coastal Plain resulted in the observations of distinct unnamed fabric distributions that implied rearrangement of the skeleton grains and f-members. It was noted that the skeleton grains or f-members were capable of independent reorganization in relation to the plasma or f-matrix. Three modal fabric types were defined as follows: 1. Orbiculic fabric — The skeleton grains or f-members are reorganized into circular or ellipsoidal patterns. 2. Suscitic fabric — The skeleton grains or f-members are vertically aligned and often show an accumulation of finer matrix material at the base. 3. Conglomeric fabric — A compound distribution in which individual f-members are enclosed by finer matrix material into a secondary fabric such as fragmic or granoidic. The interpretation of the genesis of these fabrics may aid in understanding the developmental history of the soil, especially those soils that have been subjected to cryogenic processes.

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