The present study was an attempt to access and evaluate the status and distribution of waders associated to wetlands of Ujani Reservoir with special reference to north - west region. Waders are the birds generally observed along shorelines and mudflats that wade in order to forage for food in mud or sand. Ujani wetlands provide feeding and roosting grounds for resident and migratory waders. This study was conducted from December 2015 to November 2017 including seasonal visits to five wetland sites (...) i.e. Kumbhargaon, Diksal, Kondhar-Chincholii, Rajegaon (Bhigwan) and Khanota. During study, about 38 species of waders were identified belonging to 14 families viz. Ardeidae, Charadriidae, Ciconiidae, Jacanidae, Laridae, Rallidae, Motacillidae, Phalacrocoracidae, Phoenicopteridae, Recurvirostridae, Rostratulidae, Scolopacidae, Threskiornithidae and Glariolidae. (shrink)

One of the disadvantages of the point estimate in survey sampling is that it fluctuates from sample to sample due to sampling error, as the estimator only provides a point value for the parameter under discussion. The neutrosophic approach, pioneered by Florentin Smarandache, is an excellent tool for estimating the parameters under consideration in sampling theory since it yields interval estimates in which the parameter lies with a very high probability. As a result, the neutrosophic technique, which is a generalization (...) of classical approach, is used to deal with ambiguous, indeterminate, and uncertain data. In this investigation, we suggest a new general family of ratio and exponential ratio type estimators for the elevated estimation of neutrosophic population mean of the primary variable utilizing known neutrosophic auxiliary parameters. For the first degree approximation, the bias and Mean Squared Error (MSE) of the suggested estimators are computed. The neutrosophic optimum values of the characterizing constants are determined, as well as the minimum value of the neutrosophic MSE of the suggested estimator is obtained for these optimum values of the characterizing scalars. Because the minimum MSE of the classical estimators of population mean lies inside the estimated interval of the neutrosophic estimators, the neutrosophic estimators are better than the equivalent classical estimators. The empirical investigation, which used both real and simulated data sets, backs up the theoretical findings. For practical utility in various areas of applications, the estimator with the lowest MSE or highest Percentage Relative Efficiency (PRE) is recommended. (shrink)