№ files_lp_4_process_2_58043
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Academic text explaining theoretical properties of maximum likelihood estimators, including information inequality, efficiency, and asymptotic behavior, with examples for normal, binomial, and Poisson distributions.
Year: 2026
Field: Statistics / Mathematical Statistics
Document Type: Academic Text / Lecture Notes
Institution: Unspecified
Author: Unspecified
Target Audience: Graduate students in statistics or related fields
Topics: Maximum Likelihood Estimation, Cramer-Rao Bound, Efficiency of Estimators, Information Inequality
Examples: Normal, Binomial, Poisson distributions
Key Formulas: Variance inequalities, Fisher information, asymptotic distribution of estimators
Notation: X1, X2, …, Xn ~ i.i.d. f(x|θ), g(θ), θ̂, UMVUE, MLE
Price: 8 / 10 USD
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Primer for Surplus Production Method – Schaefer Depletion Estimators
Year: 1954
Region / City: Global
Topic: Fisheries Management
Document Type: Guide
Author: M.B. Schaefer
Target Audience: Fisheries professionals, ecologists, and marine biologists
Period of Validity: Ongoing
Approval Date: Not specified
Amendment Date: Not specified
Introduction for ResNet-50, CBAM, Cox partial likelihood, radiomics feature extraction, and statistical analysis in the context of image-based phenotyping and overall survival prediction
Year: 2020
Region / City: Not specified
Topic: Deep learning, convolutional neural networks, survival analysis, radiomics
Document type: Scientific article
Institution / Organization: Not specified
Author: He Kaiming, Sanghyun Woo, Zwanenburg A et al.
Target audience: Researchers in machine learning, medical imaging, and survival analysis
Period of validity: Not specified
Approval date: Not specified
Date of changes: Not specified
Instructions for using this press release:In the red sections, complete your information. Sample quotes have been provided. You may use the template quote given or provide something in your own words. You will notice that there is an opportunity for the owner of your company or your supervisor to provide a quote. This section is optional, and if you prefer not to submit this information or it is not relevant, please leave it blank. Include with your attachment a headshot that can be submitted with the press release. This does not have to be a professional headshot; however it should be a photo that you would be willing to have printed in a news publication. A headshot is not required, but it will increase the likelihood that the story will be printed. Email the press release and your headshot to your local press and industry publications.Tips for submitting your headshot:The photo should look professional in nature.Be mindful of what appears in the background. Avoid too much extra space around your head. Take notice of lighting so the photo does not appear too dark.
Year: 2023
Region / city: Not specified
Theme: Press release, Qualification renewal, Arborist industry
Document type: Instructional document
Organization / institution: ASCA (American Society of Consulting Arborists)
Author: Not specified
Target audience: Industry professionals, media, press
Validity period: Not specified
Approval date: Not specified
Date of change: Not specified
Supplementary Table 1: Comparison of model performances in predicting drug-disease approval likelihood using 10-fold cross-validation and Bayesian optimization for hyperparameter optimization.
Year: 2023
Region / City: N/A
Topic: Drug repurposing, machine learning models
Document Type: Research article
Organization / Institution: N/A
Author: N/A
Target Audience: Researchers, Data Scientists
Effective Period: N/A
Approval Date: N/A
Modification Date: N/A
Description of Document: A research article comparing the performance of different machine learning models in predicting drug-disease approval likelihood using various optimization techniques and cross-validation methods.
Likelihood profile for h and a fit of the RC model excluding the early CPUE data
Year: Not specified
Region / City: Not specified
Theme: Stock-recruitment relationship, Likelihood profile
Document Type: Research Report
Organization / Institution: Not specified
Author: A. Ross-Gillespie
Target Audience: Researchers in fisheries science
Period of validity: Not specified
Approval Date: Not specified
Date of changes: Not specified
Likelihood Ratios and Their Interpretation in Common Diseases and Diagnostic Tests
Year: 2012
Region / City: Philadelphia, PA
Topic: Evidence-based physical diagnosis
Document Type: Reference table / Medical guideline
Institution / Publisher: Elsevier Saunders
Author: Steven McGee
Target Audience: Healthcare professionals, medical students
Clinical Focus: Diagnostic accuracy using likelihood ratios
Content Coverage: Acute and chronic diseases, laboratory and imaging tests
Data Format: Tabular with numerical likelihood ratios
Reference Source: McGee, Steven. Evidence-Based Physical Diagnosis, 2012
Binomial likelihood, Normal sample likelihood, Regression likelihood, Exponential sample, Censored exponential sample, Birth process
Note: Year
Topic: Statistical likelihood models
Document Type: Technical Description
Target Audience: Researchers, statisticians
Context: Technical document explaining various statistical likelihood models, including binomial, normal, regression, exponential, censored exponential, and birth process likelihoods.
Neural effects of cognitive training in schizophrenia: A systematic review and activation likelihood estimation meta-analysis
Year: 2018
Region / Institution: National University of Ireland Galway, Ireland
Subject: Cognitive training, schizophrenia, neuroimaging
Document type: Systematic review and meta-analysis
Authors: David Mothersill, Gary Donohoe
Corresponding author: Gary Donohoe, Professor of Psychology, School of Psychology, National University of Ireland Galway
Number of studies reviewed: 31
Neuroimaging methods: fMRI, SPECT, PET, cortical thickness, VBM, DTI
Key findings: Increased left prefrontal activation, distributed neural effects
Keywords: neuroimaging; cognitive remediation therapy; psychosis; prefrontal
Word count abstract: 225
Word count main text: 3,007
Figures: 2
Tables: 2
Supplemental information: 1
Time period covered: studies published until December 2018
IPCC Likelihood Activity: Analyzing the Ice Off Date on Lake Mendota Using Statistical Methods
Year: 2007
Region / City: Madison, Wisconsin
Topic: Climate change, statistical analysis
Document Type: Educational Activity
Institution: IPCC, University of Wisconsin-Madison
Author: IPCC, Researchers at the University of Wisconsin-Madison
Target Audience: Students, Climate Science Enthusiasts
Period of Validity: Ongoing (based on annual data from 1855)
Approval Date: N/A
Date of Changes: N/A
Topics: Asymptotically Estimators likelihood