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API STD 670: Machinery Protection Systems

$

423

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API MPMS CH 17.5: Guidelines for Cargo Analysis and Reconciliation

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252

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API STD 603: Corrosion-Resistant, Bolted Bonnet Gate Valves–Flanged and Butt-Welding Ends

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205

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API STD 653: Tank Inspection, Repair, Alteration, and Reconstruction

$

460

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API STD 12R1: Installation, Operation, Maintenance, Inspection, and Repair of Tanks in Production Service

$

285

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API STD 653: Tank Inspection, Repair, Alteration, and Reconstruction: Addendum 4

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0

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API SPEC 9A: Specification for Wire Rope

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248

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API RP 575: Inspection Practices for Atmospheric and Low-Pressure Storage Tanks

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416

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API SPEC 9A: Addenda 2

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ISO 2854:1976

ISO 2854:1976 Statistical interpretation of data – Techniques of estimation and tests relating to means and variances

CDN $312.00

SKU: 2e8277786388 Category:

Description

Comparison of a variance with a given value, estimation of a variance, comparison of two variances, estimation of the ratio of two variances, and the same procedures for a mean with known or unknown variance are dealt with. Techniques are valid for sample elements drawn at random and being independent, when the distribution of the observed variable is normal, for a sample size not too small (5 to 10 at least) approximately also when the distribution does not deviate very much from the normal. Techniques of verification of the hypothesis of normality are briefly dealt with in the examples.

Edition

1

Published Date

1976-02-01

Status

PUBLISHED

Pages

46

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

Comparison of a variance with a given value, estimation of a variance, comparison of two variances, estimation of the ratio of two variances, and the same procedures for a mean with known or unknown variance are dealt with. Techniques are valid for sample elements drawn at random and being independent, when the distribution of the observed variable is normal, for a sample size not too small (5 to 10 at least) approximately also when the distribution does not deviate very much from the normal. Techniques of verification of the hypothesis of normality are briefly dealt with in the examples.

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