Excitotoxin
发表于 2025-3-25 06:27:38
http://reply.papertrans.cn/25/2411/241076/241076_21.png
nullify
发表于 2025-3-25 10:16:09
http://reply.papertrans.cn/25/2411/241076/241076_22.png
fetter
发表于 2025-3-25 12:43:20
https://doi.org/10.1007/978-1-4419-5876-1 SPC data type is “attribute” data, originally counts of the number of good and of defective (or in current terminology “conforming” and “nonconforming ” items) in a sample. We draw the distinction a little differently: into the standard statistical distinction between continuous and discrete measur
Locale
发表于 2025-3-25 16:24:56
https://doi.org/10.1007/978-1-4419-5876-1hem adequately. To get some feeling for this, we try to quantify the impact of uncertainty in the parameter estimates in the case of a normal CUSUM. Suppose that the process stream is . (μ, σ.). To calibrate the CUSUM, we take a sample ofsize m and compute its mean . and standard deviation ., and su
繁忙
发表于 2025-3-25 20:46:21
http://reply.papertrans.cn/25/2411/241076/241076_25.png
Endometrium
发表于 2025-3-26 02:47:50
http://reply.papertrans.cn/25/2411/241076/241076_26.png
Spirometry
发表于 2025-3-26 04:51:41
http://reply.papertrans.cn/25/2411/241076/241076_27.png
管理员
发表于 2025-3-26 11:21:11
https://doi.org/10.1007/978-1-4419-5876-1 SPC data type is “attribute” data, originally counts of the number of good and of defective (or in current terminology “conforming” and “nonconforming ” items) in a sample. We draw the distinction a little differently: into the standard statistical distinction between continuous and discrete measurements.
Ingest
发表于 2025-3-26 13:42:08
http://reply.papertrans.cn/25/2411/241076/241076_29.png
全能
发表于 2025-3-26 17:25:42
http://reply.papertrans.cn/25/2411/241076/241076_30.png