Results 131 to 140 of about 28,074 (208)
Robust Inference for Intermittently‐Monitored Step‐Stress Tests Under Weibull Lifetime Distributions
ABSTRACT Many modern products exhibit high reliability under normal operating conditions. Conducting life tests under these conditions may result in very few observed failures, insufficient for accurate inferences. Instead, accelerated life tests (ALTs) must be performed.
Narayanaswamy Balakrishnan +2 more
wiley +1 more source
ABSTRACT Accelerated life testing (ALT) is a method of reducing the lifetime of components through exposure to extreme stress. This method of obtaining lifetime information involves the design of a testing experiment, that is, an accelerated test plan.
Owen McGrath, Kevin Burke
wiley +1 more source
A bivariate inverse Weibull distribution and its application in complementary risks model. [PDF]
Mondal S, Kundu D.
europepmc +1 more source
Dynamic Borrowing With a Bias‐Tolerance Cap in Augmented Randomized Controlled Trials
ABSTRACT Although randomized controlled trials (RCTs) are the gold standard for evaluating the efficacy and safety of treatments, they are challenged by cost, duration, enrollment, or ethical concerns. A possible solution is to incorporate external control data as a hybrid control group, for which various statistical methods are available.
Kota Sawada +2 more
wiley +1 more source
Reliable estimation of extreme waves is essential for offshore wind turbine system design; however, site-specific conditions limit the application of one-size-fits-all statistical methods.
Woobeom Han +3 more
doaj +1 more source
ABSTRACT Non‐proportional hazards cases are frequently expected in clinical trials with time‐to‐event endpoints (e.g., cardiology, oncology). The relevance of hazard ratios to quantify the treatment effect is questionable and potentially misleading in this context.
Carolin Herrmann, Paul Blanche
wiley +1 more source
Advances in Modal Regression: From Theoretical Foundations to Practical Implementations
Modal regression. ABSTRACT Modal regression has emerged as a powerful alternative to traditional mean and quantile regression by focusing on estimating the conditional mode rather than the conditional mean or quantiles. This approach offers robustness to outliers and skewed distributions while providing more informative prediction intervals for ...
Sijia Xiang, Weixin Yao, Xinping Cui
wiley +1 more source
خصائص جديدة لتوسيع توزيع معكوس ويبل مع محاكاة
تم في هذا البحث تقديم خصائص جديدة لتوسيع لتوزيع معكوس ويبل وهو من التوزيعات المستمرة وذلك عن طريق تركيب توزيع معكوس ويبل Inverse Weibull Distribution مع عائلة مارشال اولكين ويبل The Marshal Olkin Weibull H- Family للحصول على التوزيع الجديد ...
Hayman Abdullah Mohammed +1 more
doaj +1 more source
Beyond Normality: Gain‐Probability Analysis for Symmetric Scale Mixture of Normal Distributions
ABSTRACT Gain‐Probability (G‐P) analysis quantifies the probability that a randomly selected individual from one group scores higher or lower than an individual from another group, by varying magnitudes. While G‐P methods have been developed under normality and various skewed distributions, symmetric heavy‐tailed settings remain largely unexplored ...
Tingting Tong +5 more
wiley +1 more source
ABSTRACT China has complex topography, diverse flood mechanisms, and high population exposure, making it highly vulnerable to flooding, highlighting the need for robust national‐scale hazard assessments to identify flood‐prone regions. However, most existing hazard studies are limited to regional scales or rely on empirical indicator‐based methods that
Jayesh Parmar +4 more
wiley +1 more source

