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  • Search: subject:"statistical decisions"
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Year of publication
Subject
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statistical decisions 6 implementability 4 pre-analysis plans 4 Economic models 1 Implementability 1 Pre-analysis plans 1 Statistical decisions 1 algebra 1 bayesian analysis 1 binomial distributions 1 consistent estimator 1 equation 1 hypothesis testing 1 inventory 1 inventory control 1 loss aversion 1 markov chain 1 mathematical methods 1 mathematical statistics 1 operations research 1 optimization 1 probabilities 1 probability 1 probability distribution 1 probability distributions 1 random sample 1 random variables 1 sample size 1 sampling 1 statistics 1 stochastic inventory control 1 survey 1 treatment effects 1
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Online availability
All
Free 7
Type of publication
All
Book / Working Paper 7
Type of publication (narrower categories)
All
Working Paper 5 Arbeitspapier 3 Graue Literatur 3 Non-commercial literature 3
Language
All
English 6 Undetermined 1
Author
All
Kasy, Maximilian 5 Spiess, Jann 5 Larson, Erik W. 1 Olson, Lars J. 1 Sharma, Sunil 1 Tetenov, Aleksey 1
Institution
All
Collegio Carlo Alberto, Università degli Studi di Torino 1 International Monetary Fund (IMF) 1
Published in...
All
CESifo Working Paper 1 CESifo working papers 1 Carlo Alberto Notebooks 1 Department of Economics discussion paper series / University of Oxford 1 Discussion paper series / IZA 1 IMF Working Papers 1 IZA Discussion Papers 1
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Source
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ECONIS (ZBW) 3 EconStor 2 RePEc 2
Showing 1 - 7 of 7
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Optimal Pre-analysis Plans: Statistical Decisions Subject to Implementability
Kasy, Maximilian; Spiess, Jann - 2024
What is the purpose of pre-analysis plans, and how should they be designed? We model the interaction between an agent who analyzes data and a principal who makes a decision based on agent reports. The agent could be the manufacturer of a new drug, and the principal a regulator deciding whether...
Persistent link: https://www.econbiz.de/10015061942
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Cover Image
Optimal Pre-Analysis Plans: Statistical Decisions Subject to Implementability
Kasy, Maximilian; Spiess, Jann - 2024
What is the purpose of pre-analysis plans, and how should they be designed? We model the interaction between an agent who analyzes data and a principal who makes a decision based on agent reports. The agent could be the manufacturer of a new drug, and the principal a regulator deciding whether...
Persistent link: https://www.econbiz.de/10015061986
Saved in:
Cover Image
Optimal pre-analysis plans : statistical decisions subject to implementability
Kasy, Maximilian; Spiess, Jann - 2024
What is the purpose of pre-analysis plans, and how should they be designed? We model the interaction between an agent who analyzes data and a principal who makes a decision based on agent reports. The agent could be the manufacturer of a new drug, and the principal a regulator deciding whether...
Persistent link: https://www.econbiz.de/10014637429
Saved in:
Cover Image
Optimal pre-analysis plans : statistical decisions subject to implementability
Kasy, Maximilian; Spiess, Jann - 2024
What is the purpose of pre-analysis plans, and how should they be designed? We model the interaction between an agent who analyzes data and a principal who makes a decision based on agent reports. The agent could be the manufacturer of a new drug, and the principal a regulator deciding whether...
Persistent link: https://www.econbiz.de/10014637491
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Rationalizing pre-analysis plans : statistical decisions subject to implementability
Kasy, Maximilian; Spiess, Jann - 2022
Persistent link: https://www.econbiz.de/10013415527
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Statistical Treatment Choice Based on Asymmetric Minimax Regret Criteria
Tetenov, Aleksey - Collegio Carlo Alberto, Università degli Studi di Torino - 2009
This paper studies the problem of treatment choice between a status quo treatment with a known outcome distribution and an innovation whose outcomes are observed only in a representative finite sample. I evaluate statistical decision rules, which are functions that map sample outcomes into the...
Persistent link: https://www.econbiz.de/10008625835
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Optimal Inventory Policies When the Demand Distribution is Not Known
Larson, Erik W.; Sharma, Sunil; Olson, Lars J. - International Monetary Fund (IMF) - 2000
This paper analyzes the stochastic inventory control problem when the demand distribution is not known. In contrast to previous Bayesian inventory models, this paper adopts a non-parametric Bayesian approach in which the firm’s prior information is characterized by a Dirichlet process prior....
Persistent link: https://www.econbiz.de/10005604861
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