Adjusting the Scott-Knott cluster analyses for unbalanced designs

نویسندگان

  • Thiago Vincenzi Conrado
  • Daniel Furtado Ferreira
  • Carlos Alberto Scapim
  • Wilson Roberto Maluf
  • In
  • Alastair J. Scott
  • Martin Knott
چکیده

The Scott-Knott cluster analysis is an alternative approach to mean comparisons with high power and no subset overlapping. It is well suited for the statistical challenges in agronomy associated with testing new cultivars, crop treatments, or methods. The original Scott-Knott test was developed to be used under balanced designs; therefore, the loss of a single plot can significantly increase the rate of type I error. In order to avoid type I error inflation from missing plots, we propose an adjustment that maintains power similar to the original test while adding error protection. The proposed adjustment was validated from more than 40 million simulated experiments following the Monte Carlo method. The results indicate a minimal loss of power with a satisfactory type I error control, while keeping the features of the original procedure. A user-friendly SAS macro is provided for this analysis.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Effort Estimation Using Scott Knott Test

Software Cost Estimation is used for large-scaled and complex software systems leads managers to settle SCE as one of the most vital activities that is closely related to predicate the success or failure of the whole development process. Propose a statistical framework based on a multiple comparisons algorithm in order to rank several cost estimation models, identifying those which have signifi...

متن کامل

Unbalanced and Minimal Point Equivalent Estimation Second-Order Split-Plot Designs

Restricting the randomization of hard-to-change factors in industrial experiments is often performed by employing a split-plot design structure. From an economic perspective, these designs minimize the experimental cost by reducing the number of resets of the hard-tochange factors. In this paper, unbalanced designs are considered for cases where the subplots are relatively expensive and the exp...

متن کامل

Application of adaptive sampling in fishery part 1: Adaptive cluster sampling and its strip designs

Abstract:  The precision of conventional sampling designs is not usually satisfactory for estimating parameters of clump and rare populations. Many of fish species live in school and disperse all over a vast area like a sea so that they are rare compare to their habitats. Theory of a class of sampling designs called adaptive sampling designs has rapidly grown during last decade which solved the...

متن کامل

Authors’ response to Li et al. Obes Facts 2015;8:DOI: 10.159/000381434

Li et al. [1] have concerns regarding our statement that adjusting for the baseline values of parameters that are highly influenced by baseline values can bias the results in randomized studies. They argued that this is a standard procedure and that our study should be retracted mainly because it contradicts the epidemiology literature. Our study cannot be retracted exactly because it indicates...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016