01629ojm 2200241z- 450 991014902270332120230913112557.01-5159-9469-4(CKB)3710000000924381(BIP)060408574(EXLCZ)99371000000092438120231107c2016uuuu -u- -engEducation of Dixie DupreeTantor AudioIn 1969, Dixie Dupree is eleven years old and already an expert liar. Sometimes the lies are for her mama, Evie's sake-to explain away a bruise brought on by her quick-as-lightning temper. And sometimes the lies are to spite Evie, who longs to leave her unhappy marriage in Perry County, Alabama, and return to her beloved New Hampshire. But for Dixie and her brother, Alabama is home, a place of pine-scented breezes and hot, languid afternoons.Though Dixie is learning that the family she once believed was happy has deep fractures, even her vivid imagination couldn't concoct the events about to unfold. Dixie records everything in her diary-her parents' fights, her father's drinking and his unexplained departure, and the arrival of Uncle Ray. Only when Dixie desperately needs help and is met with disbelief does she realize how much damage her past lies have done. But she has courage and a spirit that may yet prevail, forcing secrets into the open and allowing her to forgive and become whole again.813/.6Everhart Donna1436211Bentley Amy MelissanrtAUDIO9910149022703321Education of Dixie Dupree3594569UNINA05292nam 2200661Ia 450 991080783210332120200520144314.01-299-44821-690-272-7314-6(CKB)2550000001018485(EBL)1163756(SSID)ssj0000856342(PQKBManifestationID)11943629(PQKBTitleCode)TC0000856342(PQKBWorkID)10807345(PQKB)11766865(MiAaPQ)EBC1163756(Au-PeEL)EBL1163756(CaPaEBR)ebr10685285(CaONFJC)MIL476071(OCoLC)839301835(PPN)258909099(EXLCZ)99255000000101848520120801d2013 uy 0engurcn|||||||||txtccrJapanese /Shoichi IwasakiRev. ed.Amsterdam ;Philadelphia John Benjaminsc20131 online resource (405 p.)London Oriental and African language library,1382-3485 ;v. 17Description based upon print version of record.90-272-3817-0 Includes bibliographical references and index.Japanese; Editorial page; Title page; LCC data; Dedication page; Table of Contents; Preface; Romanization and text presentation; Chapter 1. Overview; 1. Language varieties; 2. Genetic relationships with other languages; 3. Historical periods and important changes in the language; 4. Typological features of Japanese; Chapter 2. Writing system; 1. Early history; 2. The current system; 3. Kanji: Chinese characters; 4. Kana; Appendix A (Hiragana chart); Appendix B (Katakana chart); Chapter 3. Sounds; 1. The inventory of sounds; 1.1 Vowels; 1.2 Consonants; 1.2.1 Phonetic inventory1.2.2 Phonemic analysis 1.2.3 Syllable-initial clusters; 1.2.4 Special phonemes; 2. Sound modification; 2.1 High vowel devoicing; 2.2 Sequential voicing ("Rendaku 連濁"); 3. Syllable, mora, and foot; 4. Accent; 5. Intonation; Words; 1. Vocabulary strata; 2. Word classes; 2.1 Major word classes; 2.1.1 Nouns; 2.1.2 Adjectives; 2.1.3 Nominal adjectives; 2.1.4 Verbs; 2.2 Minor word classes; 2.2.1 Adverbs; 2.2.2 Conjunctions; 2.2.3 Adnouns; 2.2.4 Auxiliaries; 2.2.5 Copula; 2.2.6 Particles; 2.2.7 Affixes; 2.2.8 Interjections; 3. Some notable word classes; 3.1 Sound-symbolic words3.2 Numerals and numeral-classifiers 3.2.1 Numerals; 3.2.2 Numeral classifiers and numeric phrases; Morphology; 1. Morphology of the inflectional category; 1.1 Verb morphology; 1.1.1 Verb types; 1.1.2 Onbin (sandhi); 1.1.3 Transitive-intransitive opposition; 1.2 Adjective morphology; 1.3 Copula morphology; 1.4 Polite register inflection paradigms; 2. Word-formation processes; 2.1 Noun equivalents (Lexical nominalization); 2.2 Affixation; 2.3 Compounding; 2.4 Reduplication; 2.5 Clipping and blending; Chapter 6. Argument structures; 1. Argument structure types1.1 Argument structures with stative predicates 1.2 Argument structures with dynamic predicates; 1.3 Argument structure for the reportative verbs; 2. Adjunct noun phrases; 3. Syntactic roles and clausal structures; 3.1 Subjects; 3.2 Objects; Tense and aspect; 1. Tense; 2. Aspect; 2.1 Perfect (anterior) aspect: -ta; 2.2 Perfective aspect; 2.3 Imperfective aspect: Progressive and resultative; 2.3.1 -te-iru; 2.3.1.1 Canonical cases. The -te-iru construction shares great deal of similarities with the English be V-ing construction as the table below shows.2.3.1.2. Extended uses. In the previous section, the unmarked meanings of the -te-iru form with different types of verbs were presented. However, marked, extended meanings may also emerge when a specific context is provided. This includes the resultative 2.3.2 -te-aru; 2.3.3 Summary; 2.4 Marked aspects; 2.4.1 Completive aspect; 2.4.1.1 [VerbINF]-owaru / oeru. The "completive" aspect is expressed by -owaru and -oeru following the infinitive form. These auxiliary verbs have derived from the main verbs, owaru (intransitive) and oeru (transitive), both of which mean 'finish, end.' C2.4.1.2 -te-shimau.Japanese ranks as the ninth most widely spoken language of the world with more than 127 million speakers in the island state of Japan. Its genetic relation has been a topic of heated discussion, but Altaic and Austronesian languages appear to have contributed to the early formation of this language. Japanese has a long written tradition, which goes back to texts from the eighth century CE. The modern writing system employs a mixture of Chinese characters and two sets of syllabary indigenously developed based on the Chinese characters.This book consists of sixteen chapters covering theLondon Oriental and African language library ;v. 17.Japanese languageGrammarLinguisticsJapanJapanese languageGrammar.Linguistics495.6/5Iwasaki Shoichi893789MiAaPQMiAaPQMiAaPQBOOK9910807832103321Japanese3931801UNINA01880nam0 2200469 i 450 VAN0012405920240806100815.364N978331965112520191007d2017 |0itac50 baengCH|||| |||||Statistical DistributionsApplications and Parameter EstimatesNick T. ThomopoulosChamSpringer2017xvii, 172 p.ill.24 cmVAN00235998Statistical Distributions156249162-XXStatistics [MSC 2020]VANC022998MF62ExxStatistical distribution theory [MSC 2020]VANC031447MF62GxxNonparametric inference [MSC 2020]VANC024592MFBivariate lognormalKW:KBivariate normalKW:KDistributionKW:KErlangKW:KLeft-truncated normalKW:KMaximum likelihood estimatorKW:KParameter estimatesKW:KProbabilityKW:KRight-truncated normalKW:KSpread ratioKW:KStatistical DistributionsKW:KWeibullKW:KCHChamVANL001889ThomopoulosNick T.VANV095534767476Springer <editore>VANV108073650ITSOL20240906RICAhttp://doi.org/10.1007/978-3-319-65112-5E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00124059BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-book 0913 08eMF913 20191007 Statistical Distributions1562491UNICAMPANIA