Performance of parametric model for line transect data

QR Code

Performance of parametric model for line transect data

One of the most important sides of life is wildlife. There is growing research interest in monitoring wildlife. Line transect sampling is one of the techniques widely used for estimating the density of objects especially for animals and plants. In this study, we have developed a parametric estimator...

Full description

Bibliographic Details
Main Authors:	Saeed, Gamil Abdulraqeb Abdullah, Noryanti, Muhammad, Wan Nur Syahidah, Wan Yusoff
Format:	Article
Language:	English
Published:	Akademi Sains Malaysia 2020
Subjects:	QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/24104/ http://umpir.ump.edu.my/id/eprint/24104/13/Performance%20of%20parametric%20model%20for%20line%20transect%20data.pdf

Similar Items

Development of parametric model for ungrouped and grouped line transect data
by: Gamil Abdulraqeb, Abdullah Saeed
Published: (2021)

Kernel Estimation in Line Transect Sampling for Parametric Model
by: Saeed, Gamil Abdulraqeb Abdullah, et al.
Published: (2019)

Model for estimating of population abundance using line transect sampling
by: Noryanti, Muhammad, et al.
Published: (2017)

Determination of the Best Single Imputation Algorithm for Missing Rainfall Data Treatment
by: Saeed, Gamil Abdulraqeb Abdullah, et al.
Published: (2016)

Nonparametric predictive inference with parametric copula for survival analysis
by: Noryanti, Muhammad, et al.
Published: (2018)

Line intercept transect
by: Saad, Shahbudin
Published: (2011)

Parametrization of the stochastic SIRD model for covid-19 outbreak using Markov chain Monte Carlo method
by: Muhammad Fahmi, Ahmad Zuber, et al.
Published: (2023)

Nonparametric predictive inference for combining diagnostic tests with parametric copula
by: Noryanti, Muhammad, et al.
Published: (2017)

Parametric Cox’s Model for partly interval-censored data with application to AIDS studies
by: Elfaki, Faiz Ahmed Mohamed, et al.
Published: (2012)

Comparison of Robust Estimators’ Performance for Detecting Outliers in Multivariate Data
by: Sharifah Sakinah, Syed Abd Mutalib, et al.
Published: (2021)

Data Science Project I and Data Science Project II Presentation Day
by: Wan Nur Syahidah, Wan Yusoff
Published: (2023)

Forecasting locations of forest fires in Indonesia through nonparametric predictive inference with parametric copula: A case study
by: Amirah Hazwani, Roslin, et al.
Published: (2025)

Parametric model based on imputations techniques for partly interval censored data
by: Zyoud, Abdallah, et al.
Published: (2017)

Nonparametric predictive inference with parametric copulas for combining bivariate diagnostic tests
by: Noryanti, Muhammad, et al.
Published: (2018)

Predicting forest fire spots using nonparametric predictive inference with parametric copula: Malaysia case study
by: Noryanti, Muhammad, et al.
Published: (2024)

Performance of the mahalanobis and other parametric families of universal portfolios
by: Lim, Wei Xiang
Published: (2012)

Descriptive analysis of circular data with outliers using Python programming language
by: N. S., Zulkipli, et al.
Published: (2020)

Graphical Summaries of Circular Data with Outliers Using Python Programming Language
by: Nur Syahirah, Zulkipli, et al.
Published: (2021)

Determination of the best single imputation algorithm for missing rainfall data treatment
by: Gamil Abdulraqeb Abdullah Saeed,, et al.
Published: (2016)

A review on outliers-detection methods for multivariate data
by: Sharifah Sakinah, Syed Abd Mutalib, et al.
Published: (2021)

Comparison of parametric models using right censored data for breast cancer patients
by: Amran, Syahila Enera
Published: (2018)

Efficiency of Fixed-Width Transect and Line-Transect-based Distance Sampling to Survey Red Junglefowl (Gallus gallus spadiceus) in Peninsular Malaysia
by: Azhar, B., et al.
Published: (2008)

A new robust estimator to detect outliers for multivariate data
by: Sharifah Sakinah, Syed Abd Mutalib, et al.
Published: (2019)

Identifying the Ideal Number Q-Components of the Bayesian Principal Component Analysis Model for Missing Daily Precipitation Data Treatment
by: Chuan, Zun Liang, et al.
Published: (2018)

Parametric survival models with time-dependent covariate for mixed case interval-censored data
by: Kiani, Kaveh
Published: (2012)

Synthetic multivariate data generation procedure with various outlier scenarios using R programming language
by: Sharifah Sakinah, Syed Abd Mutalib, et al.
Published: (2022)

Parametric frailty model with time-dependent covariates
by: Abdullah, Mohd Asrul Affendi, et al.
Published: (2020)

A synthetic data generation procedure for univariate circular data with various outliers scenarios using Python programming language
by: Nur Syahirah, Zulkipli, et al.
Published: (2021)

Nonparametric predictive inference with copulas for bivariate data
by: Noryanti, Muhammad, et al.
Published: (2023)

Predictive Inference for Bivariate Data with Nonparametric Copula
by: Noryanti, Muhammad, et al.
Published: (2016)

Parametric Interpolation To Scattered Data [QA281. A995 2008 f rb].
by: Saaban, Azizan
Published: (2008)

New tourism product forecasting - application of Bass Diffusion Model and Grey Forecasting Model
by: N., Abu, et al.
Published: (2020)

New tourism product forecasting – application of bass diffusion model and grey forecasting model
by: Abu, Noratikah, et al.
Published: (2020)

Empirical studies of the dirichlet parametric family of universal portfolios
by: Khoo, Ee Sin
Published: (2012)

The effect of different similarity distance measures in detecting outliers using single-linkage clustering algorithm for univariate circular biological data
by: Nur Syahirah, Zulkipli, et al.

Parametric And Non-Parametric Techniques In Estimating Technical Efficiency Of Crude Palm Oil Production In Malaysia
by: Sabar, Mariah
Published: (2019)

The multiple outliers detection for circular univariate data using different agglomerative clustering algorithms
by: Nur Syahirah, Zulkipli, et al.
Published: (2024)

Study on solutions of heat problems using finite difference methods and method of lines incorporate with RK-liked methods
by: Wan Abdullah, Wan Rukaida
Published: (2004)

SARIMA and exponential smoothing model for forecasting ecotourism demand: A case study in National Park Kuala Tahan, Pahang
by: Noratikah, Abu, et al.
Published: (2021)

MAT264 – Non-parametric Statistics
by: PPSM, Pusat Pengajian Sains Matematik
Published: (2022)