Non-Parametric Recurrence Data Analysis Case Study For Weibull++ 7

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Weibull++ 7 Case Studies

Case Study 8 - Non-Parametric Recurrence Data Analysis

Software Used:
Weibull++ 7

Background
Repairs are tracked on automatic transmissions in a sample of 34 cars in a preproduction road test. The objective is to determine the mean cumulative number of repairs per car by 24,000 test miles (equivalently 5.5 x 24,000 = 132,000 customer miles).

Experiment and Data
(The data for this example appears on page 4 in Recurrent Events Data Analysis for Products Repairs, Disease Recurrences, and Other Applications, by Wayne B. Nelson, 2003.)

The data set shown in the following table consists of each car’s ID, its test mileage at each transmission repair (F) and its latest observed mileage (E). The test was accelerated by a factor of 5.5.

Car	Mileage (+ latest)
24	7068		26744	+
26	28		13809	+
27	48		1440		29834	+
29	530		25660	+
31	21762	+
32	14235	+
34	1388		21133	+
35	21401	+
98	21876	+
107	5094
108	21691	+
109	20890	+
110	22486	+
111	19321	+
112	21585	+
113	18676	+
114	23520	+
115	17955	+
116	19507	+
117	24177	+
118	22854	+
119	17844	+
120	22637	+
121	375		19607	+
122	19403	+
123	20997	+
124	19175	+
125	20425	+
126	22149	+
129	21144	+
130	21237	+
131	14281	+
132	8250		21974	+
133	19250		21888	+

Analysis
Step 1: Add a Non-Parametric RDA Folio to an existing project by selecting Add Specialized Folio then Add Non-Parametric RDA from the Project menu.

Step 2: Enter the data into the Data Sheet, as shown next.

Non-Parametric RDA Folio Data Sheet

Step 3: Click Calculate to calculate the Mean Cumulative Function of the data set, then click Show Analysis Summary to display the results in the Results Panel, as shown next.

Results Panel