ДСТУ ISO 16269-6:2016 Статистическая обработка данных. Часть 6. Определение статистических допустимых интервалов (ISO 16269-6:2014, IDT)

ДСТУ ISO 16269-6:2016
(ISO 16269-6:2014, IDT)

Статистичне опрацювання даних.
Частина 6. Визначення статистичних допустимих інтервалів

 
   
 
Не є офіційним виданням.
Офіційне видання розповсюджує національний орган стандартизації
(ДП «УкрНДНЦ» http://uas.gov.ua)

Contents

Foreword

Introduction

1 Scope

2 Normative references

3 Terms, definitions and symbols

3.1 Terms and definitions

3.2 Symbols

4 Procedures

4.1 Normal population with known mean and known variance

4.2 Normal population with unknown mean and known variance

4.3 Normal population with unknown mean and unknown variance

4.4 Normal populations with unknown means and unknown common variance

4.5 Any continuous distribution of unknown type

5 Examples

5.1 Data for Examples 1 and 2

5.2 Example 1: One-sided statistical tolerance interval with unknown variance and unknown mean

5.3 Example 2: Two-sided statistical tolerance interval under unknown mean and unknown variance

5.4 Data for Examples 3 and 4

5.5 Example 3: One-sided statistical tolerance intervals for separate populations with unknown common variance

5.6 Example 4: Two-sided statistical tolerance intervals for separate populations with unknown common variance

5.7 Example 5: Any distribution of unknown type

Annex A (informative) Exact k-factors for statistical tolerance intervals for the normal distribution

Annex B (informative) Forms for statistical tolerance intervals

Annex C (normative) One-sided statistical tolerance limit factors, k_c(n; p; 1-α), for unknown σ

Annex D (normative) Two-sided statistical tolerance limit factors, k_d(n; m; p; 1-α), for unknown common σ (m samples)

Annex E (normative) Distribution-free statistical tolerance intervals

Annex F (informative) Computation of factors for two-sided parametric statistical tolerance intervals

Annex G (informative) Construction of a distribution-free statistical tolerance interval for any type of distribution

Bibliography