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Previous Chapter:
Front Matter
Next Chapter: STATISTICAL MODELS AND ANALYSES IN AUDITING
Suggested Citation:
"INTRODUCTION." National Research Council. 1988. Statistical Models and Analysis in Auditing: A Study of Statistical Models and Methods for Analyzing Nonstandard Mixtures of Distributions in Auditing. Washington, DC: The National Academies Press.
doi: 10.17226/1363.
Suggested Citation:
"INTRODUCTION." National Research Council. 1988. Statistical Models and Analysis in Auditing: A Study of Statistical Models and Methods for Analyzing Nonstandard Mixtures of Distributions in Auditing. Washington, DC: The National Academies Press.
doi: 10.17226/1363.
Suggested Citation:
"INTRODUCTION." National Research Council. 1988. Statistical Models and Analysis in Auditing: A Study of Statistical Models and Methods for Analyzing Nonstandard Mixtures of Distributions in Auditing. Washington, DC: The National Academies Press.
doi: 10.17226/1363.
Suggested Citation:
"INTRODUCTION." National Research Council. 1988. Statistical Models and Analysis in Auditing: A Study of Statistical Models and Methods for Analyzing Nonstandard Mixtures of Distributions in Auditing. Washington, DC: The National Academies Press.
doi: 10.17226/1363.
Suggested Citation:
"INTRODUCTION." National Research Council. 1988. Statistical Models and Analysis in Auditing: A Study of Statistical Models and Methods for Analyzing Nonstandard Mixtures of Distributions in Auditing. Washington, DC: The National Academies Press.
doi: 10.17226/1363.
Suggested Citation:
"INTRODUCTION." National Research Council. 1988. Statistical Models and Analysis in Auditing: A Study of Statistical Models and Methods for Analyzing Nonstandard Mixtures of Distributions in Auditing. Washington, DC: The National Academies Press.
doi: 10.17226/1363.
Suggested Citation:
"INTRODUCTION." National Research Council. 1988. Statistical Models and Analysis in Auditing: A Study of Statistical Models and Methods for Analyzing Nonstandard Mixtures of Distributions in Auditing. Washington, DC: The National Academies Press.
doi: 10.17226/1363.
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