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"This book covers the distribution, hydrochemistry and geophysics of the naturally occurring stable isotopes namely, hydrogen, oxygen and radioactive tritium, carbon and other cosmogenic and radiogenic isotopes of the uranium-thorium series, in the oceans and in atmosphere, the earth's surface and ground water. The use of environmental isotopes in the three main areas of natural waters is discussed, origin, dynamics and residence time in natural reservoirs. The origin of the hydrosphere is examined in the light of isotopic, new cosmochemical and recent theoretical results."

"Pada penelitian ini, diperkenalkan sebuah distribusi yang disebut distribusi Pareto Positive Stable. Distribusi tersebut merupakan distribusi yang dibangun dengan menggunakan transformasi Laplace dari shape parameter pada distribusi Pareto. Selain itu, distribusi Pareto Positive Stable juga didapat dari tranformasi terhadap distrbusi Weibull. Transformasi yang digunakan adalah transformasi exponentiation serta transformasi multiplication by constant. Distribusi Pareto Positve Stable memiliki kelebihan yaitu bentuk fungsi kepadatan peluang berbentuk monoton turun maupun berbentuk unimodal. Selain itu, distribusi Pareto Positive Stable dapat memodelkan data severitas klaim dengan karakteristik data heavy tailed. Berdasarkan penaksiran paramater dengan menggunakan penaksiran maximum likelihood pada data klaim asuransi kendaraan bermotor, kemudian dilakukan perbandingan menggunakan distribusi Lognormal dengan menggunakan AIC dan BIC, didapat bahwa distribusi Pareto Positive Stable lebih baik dalam memodelkan severitas klaim asuransi kendaraan bermotor.

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In this study, it introduced a distribution called the Pareto Positive Stable distribution. The distribution is a distribution that is built using the Laplace transform of the shape parameter in the Pareto distribution. In addition, the Pareto Positive Stable distribution is also obtained from the transformation of the Weibull distribution. The transformations used are exponential transformation and multiplication by constant transformation. The Pareto Positive Stable distribution has the advantage of having the form of a probability density function in the form of a decreasing monotone or a unimodal form. In addition, the Pareto Positive Stable distribution can model claim severity data with heavy tail data characteristics. Based on the parameter estimation using maximum likelihood estimation for motor vehicle insurance claims data, then doing comparison using the distribution with the Lognormal distribution using AIC and BIC, it is found that the Pareto Positive Stable distribution is better in modeling the severity of motor vehicle insurance claims."